Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
8dff92777a37Content snapshot
{ "scope": "vip-interneurons", "claim_text": "VIP, SST and PV interneurons in mPFC show distinct delay-period firing patterns, demonstrating cell-type-specific contributions to working memory representations.", "raw_fields": { "n": null, "doi": "10.1038/nn.4554", "year": "2017", "claim": "VIP, SST and PV interneurons in mPFC show distinct delay-period firing patterns, demonstrating cell-type-specific contributions to working memory representations.", "title": null, "region": "mPFC", "cite_key": "Kamigaki2017", "effect_size": null, "text_access": "fulltext", "conflict_flag": false, "fig_table_ref": null, "_source_cluster": "cluster_08_brain_regions", "evidence_gap_flag": false, "unreplicated_flag": false, "replication_status": null, "_source_cluster_index": 68, "claim_source_sentence": "The most striking difference observed in our study, however, is between VIP and SST/PV interneurons." }, "section_id": "section_09", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_09_evidence_package.json", "effect_size": null, "review_repo": "ComputationalReviewVIP", "section_ref": "wiki_page:computationalreviewvip-09-cross-areas", "source_kind": "review_finding", "source_path": "evidence/section_09_evidence_package.json", "source_refs": [ "paper:paper-6552e7a00e2e" ], "source_span": "The most striking difference observed in our study, however, is between VIP and SST/PV interneurons.", "study_system": null, "evidence_refs": [ { "ref": "paper:paper-6552e7a00e2e" } ], "section_title": "VIP Interneurons Across Brain Regions", "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": null, "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827", "replication_status": "unevaluated", "review_package_ref": "analysis_bundle:ab-2ce40c33e827", "source_artifact_ref": "wiki_page:computationalreviewvip-09-cross-areas", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_09_evidence_package.json", "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP" }