Details
- scope
- Detailed biophysical model of mouse primary motor cortex
- claim_text
- A multiscale, biophysically detailed model of mouse M1 with cell-type and laminar specificity predicts behavioral-state-dependent firing rates and LFP and yields low-dimensional latent dynamics.
- section_id
- section_14
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
- effect_size
- >10,000 neurons and ~30 million synapses
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-14-predictive-coding
- source_kind
- review_finding
- source_path
- evidence/section_14_evidence_package.json
- study_system
- Detailed biophysical model of mouse primary motor cortex
- section_title
- 14. Predictive-coding and dynamical-systems accounts — the role of recurrent excitatory feedback in error signalling, state estimation, and reservoir computing, evaluated against mouse data
- evidence_summary
- Mouse M1 model with >10,000 neurons and 30 million synapses, constrained by experimental connectivity and biophysics.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- replication_unknown
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-14-predictive-coding
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
- raw_fields
{ "n": null, "doi": "10.1016/j.celrep.2023.112574", "claim": "A multiscale, biophysically detailed model of mouse M1 with cell-type and laminar specificity predicts behavioral-state-dependent firing rates and LFP and yields low-dimensional latent dynamics.", "cite_key": "DuraBernal2023", "evidence": "Mouse M1 model with >10,000 neurons and 30 million synapses, constrained by experimental connectivity and biophysics.", "effect_size": ">10,000 neurons and ~30 million synapses", "text_access": "abstract_only", "study_system": "Detailed biophysical model of mouse primary motor cortex", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "The model accurately predicts in vivo layer- and cell-type-specific responses (firing rates and LFP) associated with behavioral states (quiet wakefulness and movement) and experimental manipulations (noradrenaline receptor blockade and thalamus inactivation).", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": "We develop a multiscale, biophysically detailed model of mouse primary motor cortex (M1) with over 10,000 neurons and 30 million synapses." }- source_refs
[ "paper:paper-39da47e849b2" ]
- source_span
The model accurately predicts in vivo layer- and cell-type-specific responses (firing rates and LFP) associated with behavioral states (quiet wakefulness and movement) and experimental manipulations (noradrenaline receptor blockade and thalamus inactivation).
- evidence_refs
[ { "ref": "paper:paper-39da47e849b2" } ]- source_policy
{ "mode": "public_source_pointer_with_short_context", "notes": [ "Local review repositories are read-only inputs.", "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose." ], "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }