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- Live5/17/2026, 4:35:28 PM
58858e0b79d8Content snapshot
{ "scope": "mouse V1; in vivo 2P imaging", "claim_text": "Disinhibitory VIP→SST motif in V1 is context-dependent: in darkness locomotion activates VIP and inhibits SST (canonical disinhibition), but in the presence of visual stimuli locomotion increases SST responses to large stimuli AND VIP responses to small stimuli — requiring an extension beyond the classical disinhibition model.", "raw_fields": { "n": null, "doi": "10.1016/j.neuron.2018.03.037", "claim": "Disinhibitory VIP→SST motif in V1 is context-dependent: in darkness locomotion activates VIP and inhibits SST (canonical disinhibition), but in the presence of visual stimuli locomotion increases SST responses to large stimuli AND VIP responses to small stimuli — requiring an extension beyond the classical disinhibition model.", "title": null, "cite_key": "Dipoppa2018", "evidence": "In vivo two-photon Ca2+ imaging of all four cell types (Pyr/SST/VIP/PV) in mouse V1 with locomotion + visual stimuli; recurrent network model.", "effect_size": "Visual stimulus reverses canonical VIP-SST anti-correlation; recurrent network model required.", "text_access": "fulltext", "study_system": "mouse V1; in vivo 2P imaging", "_source_cluster": "cluster_05_synaptic_connectivity", "replication_status": "replicates", "_source_cluster_index": 32, "claim_source_sentence": "Our recordings in darkness were consistent with a \"disinhibitory\" model in which locomotion activates Vip cells, thus inhibiting Sst cells and disinhibiting Pyr cells. However, the disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.", "replication_evidence_dois": [ "10.7554/elife.14985", "10.1016/j.cell.2014.01.050" ], "effect_size_source_sentence": null }, "section_id": "section_06", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json", "effect_size": "Visual stimulus reverses canonical VIP-SST anti-correlation; recurrent network model required.", "review_repo": "ComputationalReviewVIP", "section_ref": "wiki_page:computationalreviewvip-06-synaptic-properties", "source_kind": "review_finding", "source_path": "evidence/section_06_evidence_package.json", "source_refs": [ "paper:paper-f457e091013f" ], "source_span": "Our recordings in darkness were consistent with a \"disinhibitory\" model in which locomotion activates Vip cells, thus inhibiting Sst cells and disinhibiting Pyr cells. However, the disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.", "study_system": "mouse V1; in vivo 2P imaging", "evidence_refs": [ { "ref": "paper:paper-f457e091013f" } ], "section_title": "Synaptic Properties and 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": "95e761177f7d2ec565983d3307c14ec238f9677c", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP" }, "evidence_summary": "In vivo two-photon Ca2+ imaging of all four cell types (Pyr/SST/VIP/PV) in mouse V1 with locomotion + visual stimuli; recurrent network model.", "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827", "replication_status": "replicates", "review_package_ref": "analysis_bundle:ab-2ce40c33e827", "source_artifact_ref": "wiki_page:computationalreviewvip-06-synaptic-properties", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json", "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP" }