Version history

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

  1. Live e86623851d6a
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse V1; MAPseq + whole-brain fluorescence axonal tracing.",
      "claim_text": "MAPseq reconstruction of 591 mouse V1 projection neurons shows that the majority of single V1 cells target multiple cortical and subcortical areas in non-random combinations, indicating that V1 broadcasts information to multiple targets via diverse but structured projection sub-classes.",
      "raw_fields": {
        "n": 591,
        "doi": "10.1038/nature26159",
        "claim": "MAPseq reconstruction of 591 mouse V1 projection neurons shows that the majority of single V1 cells target multiple cortical and subcortical areas in non-random combinations, indicating that V1 broadcasts information to multiple targets via diverse but structured projection sub-classes.",
        "cite_key": "Han2018",
        "evidence": "MAPseq barcoded mapping of 591 V1 neurons; targets across ≥18 cortical and subcortical areas; combinatorial pattern analysis.",
        "effect_size": "591 V1 neurons; ≥18 target areas; most neurons multi-target with structured non-random combinations.",
        "text_access": "fulltext",
        "study_system": "Mouse V1; MAPseq + whole-brain fluorescence axonal tracing.",
        "argument_role": "supporting",
        "replication_status": "replicated",
        "claim_source_sentence": "Most neurons targeted multiple cortical areas, often in non-random combinations, suggesting that sub-classes of intracortical projection neurons exist.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [
          "10.1016/j.cell.2019.09.023"
        ],
        "effect_size_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)."
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "effect_size": "591 V1 neurons; ≥18 target areas; most neurons multi-target with structured non-random combinations.",
      "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-236d0f50c2dd"
      ],
      "source_span": "Most neurons targeted multiple cortical areas, often in non-random combinations, suggesting that sub-classes of intracortical projection neurons exist.",
      "study_system": "Mouse V1; MAPseq + whole-brain fluorescence axonal tracing.",
      "evidence_refs": [
        {
          "ref": "paper:paper-236d0f50c2dd"
        }
      ],
      "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": "MAPseq barcoded mapping of 591 V1 neurons; targets across ≥18 cortical and subcortical areas; combinatorial pattern analysis.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "replicated",
      "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"
    }