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- Live5/17/2026, 4:35:28 PM
3c87ead3d05cContent snapshot
{ "scope": "awake mouse V1 L2/3 plus pulvinar thalamic input during visual prediction-error task", "claim_text": "Mouse V1 prediction-error signals are generated by a cooperative thalamocortical disinhibitory circuit: violating predictions with unexpected visual stimuli preferentially boosts responses of L2/3 V1 neurons most selective for that stimulus, demonstrating that prediction errors specifically amplify the unexpected input (rather than generating non-specific surprise signals) — implemented by a circuit involving cortically driven thalamic input and local disinhibition.", "raw_fields": { "n": 0, "doi": "10.1038/s41586-024-07851-w", "claim": "Mouse V1 prediction-error signals are generated by a cooperative thalamocortical disinhibitory circuit: violating predictions with unexpected visual stimuli preferentially boosts responses of L2/3 V1 neurons most selective for that stimulus, demonstrating that prediction errors specifically amplify the unexpected input (rather than generating non-specific surprise signals) — implemented by a circuit involving cortically driven thalamic input and local disinhibition.", "cite_key": "Furutachi2024", "evidence": "Two-photon Ca²⁺ imaging + cell-type-specific optogenetic perturbations of mouse V1 L2/3 plus pulvinar thalamic input during prediction-error paradigm.", "effect_size": "qualitative — selective amplification of expected-stimulus-tuned neurons by thalamocortical disinhibition", "text_access": "fulltext", "study_system": "awake mouse V1 L2/3 plus pulvinar thalamic input during visual prediction-error task", "argument_role": "supporting", "replication_status": "single_study", "claim_source_sentence": "violating animals' predictions by an unexpected visual stimulus preferentially boosts responses of the layer 2/3 V1 neurons that are most selective for that stimulus. Prediction errors specifically amplify the unexpected visual input, rather than representing non-specific surprise or difference signals", "source_provenance_status": "ok", "replication_evidence_dois": [], "effect_size_source_sentence": "Prediction errors specifically amplify the unexpected visual input" }, "section_id": "section_07", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json", "effect_size": "qualitative — selective amplification of expected-stimulus-tuned neurons by thalamocortical disinhibition", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs", "source_kind": "review_finding", "source_path": "evidence/section_07_evidence_package.json", "source_refs": [ "paper:paper-41aa556ea384" ], "source_span": "violating animals' predictions by an unexpected visual stimulus preferentially boosts responses of the layer 2/3 V1 neurons that are most selective for that stimulus. Prediction errors specifically amplify the unexpected visual input, rather than representing non-specific surprise or difference signals", "study_system": "awake mouse V1 L2/3 plus pulvinar thalamic input during visual prediction-error task", "evidence_refs": [ { "ref": "paper:paper-41aa556ea384" } ], "section_title": "7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific connectivity", "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 Ca²⁺ imaging + cell-type-specific optogenetic perturbations of mouse V1 L2/3 plus pulvinar thalamic input during prediction-error paradigm.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "single_study", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }