Synthesis: An Evidence Scorecard for Addiction Neuroscience

This section is represented as a source-backed SciDEX wiki artifact. The full source remains in the original computational-review repository.

Source: https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/content/12_synthesis_assessment.md

Citation anchors captured: 63

Citation contexts

^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference} Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}. It is among the best-validated computational principles in neuroscience. How...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference} Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}. It is among the best-validated computational principles in neuroscience. How...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference} Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}. It is among the best-validated computational principles in neuroscience. How...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference} VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA’s three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}. T...
^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference} VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA’s three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}. T...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}0 VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA’s three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}1. T...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}2 VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA’s three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}3. T...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}4 Calcium-permeable AMPA receptor upregulation mediates incubation of craving. CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}5. This represents one of the field’s strongest examples of a defined molecular me...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}6 Calcium-permeable AMPA receptor upregulation mediates incubation of craving. CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}7. This represents one of the field’s strongest examples of a defined molecular me...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}8 Calcium-permeable AMPA receptor upregulation mediates incubation of craving. CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}9. This represents one of the field’s strongest examples of a defined molecular me...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}0 Drug self-administration escalation is replicable. Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents ^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}1. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}2 Drug self-administration escalation is replicable. Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents ^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}3. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}4 Drug self-administration escalation is replicable. Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents ^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}5. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}6 Drug self-administration escalation is replicable. Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents ^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}7. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...
^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}8 D2 receptor availability correlates with social status and cocaine vulnerability in NHP. Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement ^{2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}9. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}0 D2 receptor availability correlates with social status and cocaine vulnerability in NHP. Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}1. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}2 D2 receptor availability correlates with social status and cocaine vulnerability in NHP. Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}3. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}4 D2 receptor availability correlates with social status and cocaine vulnerability in NHP. Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}5. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}6 The D1/D2 MSN functional dichotomy. D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}7. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}8 The D1/D2 MSN functional dichotomy. D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}9. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}0 The D1/D2 MSN functional dichotomy. D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics ^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}1. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}2 The D1/D2 MSN functional dichotomy. D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics ^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}3. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}4 The D1/D2 MSN functional dichotomy. D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics ^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}5. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}6 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}7. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}8. The cross-species mapping to human PFC subregions remain...
^{3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}9 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}0. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}1. The cross-species mapping to human PFC subregions remain...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}2 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}3. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}4. The cross-species mapping to human PFC subregions remain...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}5 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}6. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}7. The cross-species mapping to human PFC subregions remain...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}8 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}9. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}0. The cross-species mapping to human PFC subregions remain...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}1 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}2. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}3. The cross-species mapping to human PFC subregions remain...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}4 The prelimbic/infralimbic dissociation. PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}5. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}6. The cross-species mapping to human PFC subregions remain...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}7 Wanting and liking are dissociable. The incentive salience framework’s separation of motivational “wanting” from hedonic “liking” is supported by pharmacological, lesion, and neuroimaging evidence ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}8. Rats with 98–99% dopamine depletion do not voluntarily seek food or drugs yet show normal hedonic reactions ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}9. The framework’s therapeutic predictions, however, remain largely...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}0 Wanting and liking are dissociable. The incentive salience framework’s separation of motivational “wanting” from hedonic “liking” is supported by pharmacological, lesion, and neuroimaging evidence ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}1. Rats with 98–99% dopamine depletion do not voluntarily seek food or drugs yet show normal hedonic reactions ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}2. The framework’s therapeutic predictions, however, remain largely...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}3 Wanting and liking are dissociable. The incentive salience framework’s separation of motivational “wanting” from hedonic “liking” is supported by pharmacological, lesion, and neuroimaging evidence ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}4. Rats with 98–99% dopamine depletion do not voluntarily seek food or drugs yet show normal hedonic reactions ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}5. The framework’s therapeutic predictions, however, remain largely...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}6 Whether addiction reflects habitual (stimulus-response) behavior mediated by the dorsolateral striatum or compulsive goal-directed behavior with distorted valuation mediated by prefrontal circuits remains unresolved ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}7. These frameworks predict fundamentally different intervention strategies — DLS disruption vs. prefrontal restoration — yet no definitive experiment has adjudicate...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}8 Whether addiction reflects habitual (stimulus-response) behavior mediated by the dorsolateral striatum or compulsive goal-directed behavior with distorted valuation mediated by prefrontal circuits remains unresolved ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}9. These frameworks predict fundamentally different intervention strategies — DLS disruption vs. prefrontal restoration — yet no definitive experiment has adjudicate...
^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}0 Whether addiction reflects habitual (stimulus-response) behavior mediated by the dorsolateral striatum or compulsive goal-directed behavior with distorted valuation mediated by prefrontal circuits remains unresolved ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}1. These frameworks predict fundamentally different intervention strategies — DLS disruption vs. prefrontal restoration — yet no definitive experiment has adjudicate...
^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}2 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}3. But cocaine self-administration itself reduces D2 levels ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}4, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}5 ({ref}`sec-translati...
^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}6 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}7. But cocaine self-administration itself reduces D2 levels ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}8, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}9 ({ref}`sec-translati...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}0 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}1. But cocaine self-administration itself reduces D2 levels ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}2, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}3 ({ref}`sec-translati...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}4 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}5. But cocaine self-administration itself reduces D2 levels ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}6, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}7 ({ref}`sec-translati...
^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}8 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{4Citationpaper:paper-cb3356c67235VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 5Citationpaper:paper-41af28ee862fVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 6Citationpaper:paper-5e83410c9645VTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference, 7Citationpaper:paper-b86563f8965cVTA cellular heterogeneity exceeds classical categories. Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...content/12_synthesis_assessment.md:line 15Open reference}9. But cocaine self-administration itself reduces D2 levels ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}00, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}01 ({ref}`sec-translati...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}02 The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}03. But cocaine self-administration itself reduces D2 levels ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}04, creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}05 ({ref}`sec-translati...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}06 Allostatic/opponent-process models emphasize progressive negative affect driving drug seeking ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}07, while incentive salience models emphasize escalating motivational “wanting” ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}08. These frameworks make different predictions about what maintains drug use in late-stage addiction, yet they have never been tested head-to-head on the same dataset with formal model comparison ({ref}`sec-dopamine-dynamics...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}09 Allostatic/opponent-process models emphasize progressive negative affect driving drug seeking ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}10, while incentive salience models emphasize escalating motivational “wanting” ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}11. These frameworks make different predictions about what maintains drug use in late-stage addiction, yet they have never been tested head-to-head on the same dataset with formal model comparison ({ref}`sec-dopamine-dynamics...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}12 The reinstatement model’s validity as a model of human relapse is contested across multiple dimensions: cue, stress, and drug-priming reinstatement paradigms each capture aspects of relapse but none models the gradual, decision-laden process characteristic of human lapse episodes ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}13. Preclinical reinstatement is typically tested in extinction conditions that do not match the clinical context wh...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}14 The reinstatement model’s validity as a model of human relapse is contested across multiple dimensions: cue, stress, and drug-priming reinstatement paradigms each capture aspects of relapse but none models the gradual, decision-laden process characteristic of human lapse episodes ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}15. Preclinical reinstatement is typically tested in extinction conditions that do not match the clinical context wh...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}16 ΔFosB as a molecular switch for addiction is commonly described as a persistent transcription factor mediating the transition to compulsive use ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}17. However, most cited studies employ non-physiological induction protocols (forced injections, genetic overexpression). The endogenous persistence kinetics under physiological self-administration conditions are poorly characterized ({ref}`sec-molecula...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}18 The adolescent brain imbalance model — that a temporal mismatch between early-maturing reward circuits and late-maturing prefrontal control explains adolescent vulnerability — is supported by neurodevelopmental evidence but the model is more nuanced than typically presented. Individual variation in this imbalance, rather than the imbalance itself, may be the critical variable ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}19 ({ref}...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}20 The adolescent brain imbalance model — that a temporal mismatch between early-maturing reward circuits and late-maturing prefrontal control explains adolescent vulnerability — is supported by neurodevelopmental evidence but the model is more nuanced than typically presented. Individual variation in this imbalance, rather than the imbalance itself, may be the critical variable ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}21 ({ref}...
^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}22 At the molecular level, findings are often generated with standardized protocols (slice electrophysiology, Western blots, RNA-seq) that permit relatively direct replication. Even here, drug-class specificity introduces complications: synaptic plasticity rules that hold for cocaine may not hold for opioids or alcohol ^{1Citationpaper:paper-8d64d264e68dDopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 2Citationpaper:paper-d71ec62252b2Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference, 3Citationpaper:paper-4c4d833b14f0Dopamine neurons encode reward prediction errors. The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...content/12_synthesis_assessment.md:line 13Open reference}23.
... 13 additional anchors in refs_json

References

[Schultz2016] paper:paper-8d64d264e68d “**Dopamine neurons encode reward prediction errors.** The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...”
[Schultz2002] paper:paper-d71ec62252b2 “**Dopamine neurons encode reward prediction errors.** The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...”
[Schultz2001] paper:paper-4c4d833b14f0 “**Dopamine neurons encode reward prediction errors.** The phasic activity of VTA dopamine neurons correlates with the discrepancy between predicted and received rewards. This finding has been replicated with single-unit recordings, voltammetry, and calcium imaging across rodents and nonhuman primates [Schultz2016, Schultz2002, Schultz2001]. It is among the best-validated computational principles in neuroscience. How...”
[Fiorenzano2024] paper:paper-cb3356c67235 “**VTA cellular heterogeneity exceeds classical categories.** Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...”
[YaghmaeianSalmani2024] paper:paper-41af28ee862f “**VTA cellular heterogeneity exceeds classical categories.** Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...”
[Aisenberg2025] paper:paper-5e83410c9645 “**VTA cellular heterogeneity exceeds classical categories.** Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...”
[Ciscato2025] paper:paper-b86563f8965c “**VTA cellular heterogeneity exceeds classical categories.** Single-cell transcriptomics has revealed molecular diversity within each of the VTA's three classical neurotransmitter populations (DA, GABA, glutamate). Multiple DA neuron subtypes are now defined by transcription factor expression, projection target, and electrophysiological signature [Fiorenzano2024, YaghmaeianSalmani2024, Aisenberg2025, Ciscato2025]. T...”
[Mount2026] paper:paper-ef6560ef3fa9 “**Calcium-permeable AMPA receptor upregulation mediates incubation of craving.** CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement [Mount2026, Wolf2025, TabordaBejarano2025]. This represents one of the field's strongest examples of a defined molecular me...”
[Wolf2025] paper:paper-811e57f712b5 “**Calcium-permeable AMPA receptor upregulation mediates incubation of craving.** CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement [Mount2026, Wolf2025, TabordaBejarano2025]. This represents one of the field's strongest examples of a defined molecular me...”
[TabordaBejarano2025] paper:paper-120b28547e78 “**Calcium-permeable AMPA receptor upregulation mediates incubation of craving.** CP-AMPAR insertion at NAc synapses following extended drug self-administration and withdrawal has been replicated for cocaine, methamphetamine, and oxycodone, though with drug-class-specific MSN subtype involvement [Mount2026, Wolf2025, TabordaBejarano2025]. This represents one of the field's strongest examples of a defined molecular me...”
[Ahmed2018] paper:paper-3885d61f119b “**Drug self-administration escalation is replicable.** Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents [Ahmed2018, Cohen2012b, Beasley2023, Vendruscolo2024]. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...”
[Cohen2012b] paper:paper-f2268233a56e “**Drug self-administration escalation is replicable.** Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents [Ahmed2018, Cohen2012b, Beasley2023, Vendruscolo2024]. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...”
[Beasley2023] paper:paper-691a4eb86dc9 “**Drug self-administration escalation is replicable.** Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents [Ahmed2018, Cohen2012b, Beasley2023, Vendruscolo2024]. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...”
[Vendruscolo2024] paper:paper-54de7f9ebb2b “**Drug self-administration escalation is replicable.** Extended-access self-administration produces robust escalation of drug intake across cocaine, heroin, methamphetamine, and alcohol in rodents [Ahmed2018, Cohen2012b, Beasley2023, Vendruscolo2024]. The phenomenon is one of the most reproducible behavioral findings in the field. Whether escalation constitutes a valid model of human addiction progression is a separ...”
[Morgan2000] paper:paper-dcac47917f69 “**D2 receptor availability correlates with social status and cocaine vulnerability in NHP.** Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement [Morgan2000, Czoty2004, Czoty2010, Nader2012]. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...”
[Czoty2004] paper:paper-bf75292b651b “**D2 receptor availability correlates with social status and cocaine vulnerability in NHP.** Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement [Morgan2000, Czoty2004, Czoty2010, Nader2012]. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...”
[Czoty2010] paper:paper-98f6a1474183 “**D2 receptor availability correlates with social status and cocaine vulnerability in NHP.** Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement [Morgan2000, Czoty2004, Czoty2010, Nader2012]. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...”
[Nader2012] paper:paper-516d76717857 “**D2 receptor availability correlates with social status and cocaine vulnerability in NHP.** Across two decades of work, social dominance in cynomolgus macaques has been associated with higher D2 receptor availability and reduced cocaine reinforcement [Morgan2000, Czoty2004, Czoty2010, Nader2012]. The causal direction remains debated — cocaine exposure itself reduces D2 availability — but the correlational finding i...”
[Browne2025] paper:paper-d64430fb1176 “**The D1/D2 MSN functional dichotomy.** D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics [Browne2025, Ruan2025]. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...”
[Ruan2025] paper:paper-da3883b3b615 “**The D1/D2 MSN functional dichotomy.** D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics [Browne2025, Ruan2025]. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...”
[Essmat2025] paper:paper-9da047bf979d “**The D1/D2 MSN functional dichotomy.** D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics [Browne2025, Ruan2025]. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...”
[Xu2024] paper:paper-f549343f5758 “**The D1/D2 MSN functional dichotomy.** D1-MSNs and D2-MSNs have distinct molecular identities confirmed by transcriptomics [Browne2025, Ruan2025]. However, the clean functional mapping — D1=reward/direct pathway, D2=aversion/indirect pathway — fails as a predictive model. Both subtypes are activated during drug seeking; D2-MSNs can promote reward under certain conditions; and 5–17% of MSNs co-express both receptors...”
[McGlinchey2016] paper:paper-c5e244bd01e5 “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Mesa2022] paper:paper-d8787784cac7 “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Madangopal2025] paper:paper-c8249813bbef “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Wingert2023] paper:paper-58fb04be2d2a “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Glaeser2024] paper:paper-445bb74670bb “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Laubach2018] paper:paper-96d64dffac38 “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Haber2010] paper:paper-edc9b14458e8 “**The prelimbic/infralimbic dissociation.** PL promotes drug seeking and IL promotes extinction — a finding replicated primarily with cocaine using muscimol inactivation [McGlinchey2016, Mesa2022]. Generalization to other substances is uncertain, and ensemble-level analyses show both regions contain mixed populations [Madangopal2025, Wingert2023, Glaeser2024]. The cross-species mapping to human PFC subregions remain...”
[Berridge2007] paper:paper-d7b2d670d30b “**Wanting and liking are dissociable.** The incentive salience framework's separation of motivational "wanting" from hedonic "liking" is supported by pharmacological, lesion, and neuroimaging evidence [Berridge2007, Robinson2025]. Rats with 98–99% dopamine depletion do not voluntarily seek food or drugs yet show normal hedonic reactions [Robinson2025]. The framework's therapeutic predictions, however, remain largely...”
[Robinson2025] paper:paper-29ae007ec377 “**Wanting and liking are dissociable.** The incentive salience framework's separation of motivational "wanting" from hedonic "liking" is supported by pharmacological, lesion, and neuroimaging evidence [Berridge2007, Robinson2025]. Rats with 98–99% dopamine depletion do not voluntarily seek food or drugs yet show normal hedonic reactions [Robinson2025]. The framework's therapeutic predictions, however, remain largely...”
[Veros2025] paper:paper-314e667f2e26 “Whether addiction reflects habitual (stimulus-response) behavior mediated by the dorsolateral striatum or compulsive goal-directed behavior with distorted valuation mediated by prefrontal circuits remains unresolved [Veros2025, Robinson2025, Lovinger2025]. These frameworks predict fundamentally different intervention strategies — DLS disruption vs. prefrontal restoration — yet no definitive experiment has adjudicate...”
[Lovinger2025] paper:paper-fbbcb3895a79 “Whether addiction reflects habitual (stimulus-response) behavior mediated by the dorsolateral striatum or compulsive goal-directed behavior with distorted valuation mediated by prefrontal circuits remains unresolved [Veros2025, Robinson2025, Lovinger2025]. These frameworks predict fundamentally different intervention strategies — DLS disruption vs. prefrontal restoration — yet no definitive experiment has adjudicate...”
[Czoty2013] paper:paper-b3639fe812ab “The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability [Morgan2000, Czoty2004]. But cocaine self-administration itself reduces D2 levels [Nader2012, Czoty2013], creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture [Johnson2023, Johnson2025] ({ref}`sec-translati...”
[Johnson2023] paper:paper-36cf13fa60e1 “The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability [Morgan2000, Czoty2004]. But cocaine self-administration itself reduces D2 levels [Nader2012, Czoty2013], creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture [Johnson2023, Johnson2025] ({ref}`sec-translati...”
[Johnson2025] paper:paper-8cb39cb78b62 “The NHP literature shows robust correlations between social rank, D2 availability, and cocaine vulnerability [Morgan2000, Czoty2004]. But cocaine self-administration itself reduces D2 levels [Nader2012, Czoty2013], creating a self-reinforcing cycle. The causal direction has never been definitively established, and sex-by-rank interactions further complicate the picture [Johnson2023, Johnson2025] ({ref}`sec-translati...”
[Koob2001] paper:paper-b258c4a52642 “Allostatic/opponent-process models emphasize progressive negative affect driving drug seeking [Koob2001], while incentive salience models emphasize escalating motivational "wanting" [Berridge2007]. These frameworks make different predictions about what maintains drug use in late-stage addiction, yet they have never been tested head-to-head on the same dataset with formal model comparison ({ref}`sec-dopamine-dynamics...”
[Epstein2003] paper:paper-16ffeb0dfc1b “The reinstatement model's validity as a model of human relapse is contested across multiple dimensions: cue, stress, and drug-priming reinstatement paradigms each capture aspects of relapse but none models the gradual, decision-laden process characteristic of human lapse episodes [Epstein2003, Ahmed2018]. Preclinical reinstatement is typically tested in extinction conditions that do not match the clinical context wh...”
[Basavarajappa2025b] paper:paper-3bbdfb2ca5f7 “**ΔFosB as a molecular switch for addiction** is commonly described as a persistent transcription factor mediating the transition to compulsive use [Basavarajappa2025b]. However, most cited studies employ non-physiological induction protocols (forced injections, genetic overexpression). The endogenous persistence kinetics under physiological self-administration conditions are poorly characterized ({ref}`sec-molecula...”
[AmancioBelmont2025] paper:paper-5b3c5169d48c “**The adolescent brain imbalance model** — that a temporal mismatch between early-maturing reward circuits and late-maturing prefrontal control explains adolescent vulnerability — is supported by neurodevelopmental evidence but the model is more nuanced than typically presented. Individual variation in this imbalance, rather than the imbalance itself, may be the critical variable [AmancioBelmont2025, Lin2025] ({ref}...”
[Lin2025] paper:paper-0cbfd053dcb3 “**The adolescent brain imbalance model** — that a temporal mismatch between early-maturing reward circuits and late-maturing prefrontal control explains adolescent vulnerability — is supported by neurodevelopmental evidence but the model is more nuanced than typically presented. Individual variation in this imbalance, rather than the imbalance itself, may be the critical variable [AmancioBelmont2025, Lin2025] ({ref}...”

Sister wikis (recently updated · no domain on this page)

Recent activity here

No recent events touching this page.