Details
- scope
- Mouse V1 layer 2/3, pulvinar, VIP and SOM interneurons; two-photon imaging + circuit manipulation
- claim_text
- Unexpected visual stimuli selectively amplify the responses of the V1 layer 2/3 neurons most tuned to that stimulus — a feature-selective prediction-error signal rather than a generic surprise signal.
- section_id
- section_14
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
- effect_size
- Selective amplification of stimulus-tuned L2/3 neurons (mechanism: pulvinar → VIP → SOM disinhibition gating excitatory pulvinar input)
- 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
- Mouse V1 layer 2/3, pulvinar, VIP and SOM interneurons; two-photon imaging + circuit manipulation
- 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
- Two-photon imaging in mouse V1 with optogenetic and pharmacogenetic manipulation; selective amplification depends on pulvinar input and VIP-mediated disinhibition of a specific SOM subpopulation.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- independently_replicated
- 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": "10.1038/s41586-024-07851-w", "claim": "Unexpected visual stimuli selectively amplify the responses of the V1 layer 2/3 neurons most tuned to that stimulus — a feature-selective prediction-error signal rather than a generic surprise signal.", "cite_key": "Furutachi2024", "evidence": "Two-photon imaging in mouse V1 with optogenetic and pharmacogenetic manipulation; selective amplification depends on pulvinar input and VIP-mediated disinhibition of a specific SOM subpopulation.", "effect_size": "Selective amplification of stimulus-tuned L2/3 neurons (mechanism: pulvinar → VIP → SOM disinhibition gating excitatory pulvinar input)", "text_access": "fulltext", "study_system": "Mouse V1 layer 2/3, pulvinar, VIP and SOM interneurons; two-photon imaging + circuit manipulation", "argument_role": "supporting", "replication_status": "independently_replicated", "claim_source_sentence": "A plausible scenario for how the pulvinar and neocortical VIP neurons interact to mediate prediction-error signals may therefore involve pulvinar input activating VIP neurons in V1, which in turn boost pyramidal neuron responses to unexpected visual stimuli through the VIP–SOM disinhibitory circuit.", "source_provenance_status": "ok", "replication_evidence_dois": [ "10.1016/j.celrep.2021.109772", "10.1093/cercor/bhad163" ], "effect_size_source_sentence": "In response to prediction errors, VIP neurons inhibit a specific subpopulation of somatostatin-expressing inhibitory interneurons that gate excitatory pulvinar input to V1, resulting in specific pulvinar-driven response amplification of the most stimulus-selective neurons in V1." }- source_refs
[ "paper:paper-41aa556ea384" ]
- source_span
A plausible scenario for how the pulvinar and neocortical VIP neurons interact to mediate prediction-error signals may therefore involve pulvinar input activating VIP neurons in V1, which in turn boost pyramidal neuron responses to unexpected visual stimuli through the VIP–SOM disinhibitory circuit.
- evidence_refs
[ { "ref": "paper:paper-41aa556ea384" } ]- 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" }