Version history

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

  1. Live 4ccd16d42df4
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse M1, layer-5 deep output neurons; rabies tracing + optogenetics",
      "claim_text": "Long-range monosynaptic inputs to mouse M1 layer-5 deep output neurons co-innervate both apical and basal dendritic compartments, arising from spatially segregated subpopulations within each upstream area.",
      "raw_fields": {
        "n": null,
        "doi": "10.1093/cercor/bhab460",
        "claim": "Long-range monosynaptic inputs to mouse M1 layer-5 deep output neurons co-innervate both apical and basal dendritic compartments, arising from spatially segregated subpopulations within each upstream area.",
        "cite_key": "Geng2022",
        "evidence": "Cre-dependent rabies tracing combined with layer-specific retrograde labeling, optogenetics, and slice recording for M1 L5 deep output neurons in mouse.",
        "effect_size": "Dual-compartment innervation by most upstream areas; segregated subpopulations even within a single cortical layer (qualitative).",
        "text_access": "abstract_only",
        "study_system": "Mouse M1, layer-5 deep output neurons; rabies tracing + optogenetics",
        "argument_role": "supporting",
        "replication_status": "single-study",
        "claim_source_sentence": "We revealed that most upstream areas innervate both dendritic compartments concurrently.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "Furthermore, the dichotomous inputs arise mostly from spatially segregated neuronal subpopulations within an upstream nucleus, and even in the case of an individual cortical layer."
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "effect_size": "Dual-compartment innervation by most upstream areas; segregated subpopulations even within a single cortical layer (qualitative).",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-628d4113d368"
      ],
      "source_span": "We revealed that most upstream areas innervate both dendritic compartments concurrently.",
      "study_system": "Mouse M1, layer-5 deep output neurons; rabies tracing + optogenetics",
      "evidence_refs": [
        {
          "ref": "paper:paper-628d4113d368"
        }
      ],
      "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views",
      "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": "Cre-dependent rabies tracing combined with layer-specific retrograde labeling, optogenetics, and slice recording for M1 L5 deep output neurons in mouse.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "single-study",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }