Version history

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

  1. Live b015fd7c2133
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse primary visual cortex; MAPseq barcoded projection mapping",
      "claim_text": "MAPseq projection mapping of 591 mouse V1 neurons showed that most neurons project to multiple cortical and subcortical targets in non-random combinations.",
      "raw_fields": {
        "n": 591,
        "doi": "10.1038/nature26159",
        "claim": "MAPseq projection mapping of 591 mouse V1 neurons showed that most neurons project to multiple cortical and subcortical targets in non-random combinations.",
        "cite_key": "Han2018",
        "evidence": "Direct MAPseq evidence challenging 'one-neuron-one-area' models of intracortical projections.",
        "effect_size": "591 single V1 neurons; ≥18 cortical/subcortical target areas",
        "text_access": "abstract_only",
        "study_system": "Mouse primary visual cortex; MAPseq barcoded projection mapping",
        "source_cluster_id": "cluster_11",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "Here we determine the projection patterns of 591 individual neurons in the mouse primary visual cortex using whole-brain fluorescence-based axonal tracing and high-throughput DNA sequencing of genetically barcoded neurons (MAPseq).",
        "replication_evidence_dois": [
          "10.1016/j.neuron.2016.07.036",
          "10.1038/s41593-021-00842-4",
          "10.1038/s41467-024-52756-x"
        ],
        "effect_size_source_sentence": "Projections were highly diverse and divergent, collectively targeting at least 18 cortical and subcortical areas."
      },
      "section_id": "section_12",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
      "effect_size": "591 single V1 neurons; ≥18 cortical/subcortical target areas",
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-12",
      "source_kind": "review_finding",
      "source_path": "evidence/section_12_evidence_package.json",
      "source_refs": [
        "paper:paper-236d0f50c2dd"
      ],
      "source_span": "Here we determine the projection patterns of 591 individual neurons in the mouse primary visual cortex using whole-brain fluorescence-based axonal tracing and high-throughput DNA sequencing of genetically barcoded neurons (MAPseq).",
      "study_system": "Mouse primary visual cortex; MAPseq barcoded projection mapping",
      "evidence_refs": [
        {
          "ref": "paper:paper-236d0f50c2dd"
        }
      ],
      "section_title": "Whole-Brain Connectomics: Mouse, Primate, Human",
      "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": "Direct MAPseq evidence challenging 'one-neuron-one-area' models of intracortical projections.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "independently_replicated",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-12",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }