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- Live5/17/2026, 4:35:28 PM
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{ "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.", "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." }, "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", "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.", "study_system": "Mouse V1 layer 2/3, pulvinar, VIP and SOM interneurons; two-photon imaging + circuit manipulation", "evidence_refs": [ { "ref": "paper:paper-41aa556ea384" } ], "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", "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" }, "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" }