Version history

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

  1. Live 0e9ddd414188
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Macaque visual cortex; quantitative retrograde tracer experiments",
      "claim_text": "In macaque visual cortex, the percentage of supragranular labeled neurons (SLN) provides a graded, quantitative index of hierarchical distance, with feedforward pathways carrying higher weights, crossing fewer hierarchical levels, and segregated point-to-point bottom-up streams in supragranular layers contrasting with diffuse infragranular streams.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1002/cne.23458",
        "claim": "In macaque visual cortex, the percentage of supragranular labeled neurons (SLN) provides a graded, quantitative index of hierarchical distance, with feedforward pathways carrying higher weights, crossing fewer hierarchical levels, and segregated point-to-point bottom-up streams in supragranular layers contrasting with diffuse infragranular streams.",
        "cite_key": "Markov2013",
        "evidence": "In macaque visual cortex, the percentage of supragranular labeled neurons (SLN) provides a graded, quantitative index of hierarchical distance, with feedforward pathways carrying higher weights, crossing fewer hierarchical levels, and segregated point-to-point bottom-up streams in supragranular layers contrasting with diffuse infragranular streams.",
        "effect_size": null,
        "text_access": "fulltext",
        "study_system": "Macaque visual cortex; quantitative retrograde tracer experiments",
        "source_cluster_id": "cluster_07",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "Quantitative analysis of retrograde tracers was used to extend the notion that the laminar distribution of neurons interconnecting visual areas provides an index of hierarchical distance (percentage of supragranular labeled neurons [SLN]).",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-08",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-4cf9ddd93cad"
      ],
      "source_span": "Quantitative analysis of retrograde tracers was used to extend the notion that the laminar distribution of neurons interconnecting visual areas provides an index of hierarchical distance (percentage of supragranular labeled neurons [SLN]).",
      "study_system": "Macaque visual cortex; quantitative retrograde tracer experiments",
      "evidence_refs": [
        {
          "ref": "paper:paper-4cf9ddd93cad"
        }
      ],
      "section_title": "Cortical Association Connectome: Intra-Cortical Loops and Modules",
      "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": "0632aae8abc141909207fe91f6349b9e36489c3b",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
      },
      "evidence_summary": "In macaque visual cortex, the percentage of supragranular labeled neurons (SLN) provides a graded, quantitative index of hierarchical distance, with feedforward pathways carrying higher weights, crossing fewer hierarchical levels, and segregated point-to-point bottom-up streams in supragranular layers contrasting with diffuse infragranular streams.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
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      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }