Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 650850b22cdc
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "review of mouse cortical interneuron taxonomy",
      "claim_text": "5HT3aR-expressing interneurons constitute ~30% of all neocortical INs and form the most heterogeneous of the three principal IN groups (PV, Sst, 5HT3aR); all 5HT3aR INs express functional 5HT3a and nicotinic receptors, conferring strong serotonergic and cholinergic depolarization that gates their firing in vivo.",
      "raw_fields": {
        "n": null,
        "doi": "10.1016/j.neuron.2016.06.033",
        "claim": "5HT3aR-expressing interneurons constitute ~30% of all neocortical INs and form the most heterogeneous of the three principal IN groups (PV, Sst, 5HT3aR); all 5HT3aR INs express functional 5HT3a and nicotinic receptors, conferring strong serotonergic and cholinergic depolarization that gates their firing in vivo.",
        "title": null,
        "cite_key": "Tremblay2016",
        "evidence": "review/compilation across mouse neocortex; Lee 2010 quantification of 5HT3aR fraction",
        "effect_size": "~30% of cortical INs; universal 5HT3a + nAChR co-expression",
        "text_access": "fulltext",
        "study_system": "review of mouse cortical interneuron taxonomy",
        "_source_cluster": "cluster_04_intrinsic_electrophysiology",
        "replication_status": "replicated",
        "_source_cluster_index": 34,
        "claim_source_sentence": "5HT3aR INs 5HT3aR INs represent ~30% of all neocortical INs and are thought to be more heterogeneous than the PV and Sst groups.",
        "replication_evidence_dois": [
          "10.1523/jneurosci.1869-10.2010"
        ],
        "effect_size_source_sentence": "However, all 5HT3aR INs express functional 5HT3a and nicotinic receptors (Lee et al., 2010)."
      },
      "section_id": "section_05",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json",
      "effect_size": "~30% of cortical INs; universal 5HT3a + nAChR co-expression",
      "review_repo": "ComputationalReviewVIP",
      "section_ref": "wiki_page:computationalreviewvip-05-electrophysiology",
      "source_kind": "review_finding",
      "source_path": "evidence/section_05_evidence_package.json",
      "source_refs": [
        "paper:paper-53c8505de50f"
      ],
      "source_span": "5HT3aR INs 5HT3aR INs represent ~30% of all neocortical INs and are thought to be more heterogeneous than the PV and Sst groups.",
      "study_system": "review of mouse cortical interneuron taxonomy",
      "evidence_refs": [
        {
          "ref": "paper:paper-53c8505de50f"
        }
      ],
      "section_title": "Intrinsic Electrophysiology",
      "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": "review/compilation across mouse neocortex; Lee 2010 quantification of 5HT3aR fraction",
      "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
      "replication_status": "replicated",
      "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
      "source_artifact_ref": "wiki_page:computationalreviewvip-05-electrophysiology",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json",
      "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
    }