Version history

{
  "scope": "Mouse V1, MAPseq barcoded single-neuron projection mapping",
  "claim_text": "MAPseq barcoded axonal tracing of 591 individual mouse V1 neurons showed that single intracortical projection neurons targeted at least 18 cortical and subcortical areas, mostly in non-random multi-area combinations — directly refuting one-neuron-one-target models of mouse-cortex E→E information transfer.",
  "raw_fields": {
    "n": 591,
    "doi": "10.1038/nature26159",
    "claim": "MAPseq barcoded axonal tracing of 591 individual mouse V1 neurons showed that single intracortical projection neurons targeted at least 18 cortical and subcortical areas, mostly in non-random multi-area combinations — directly refuting one-neuron-one-target models of mouse-cortex E→E information transfer.",
    "cite_key": "Han2018",
    "evidence": "591 V1 neurons traced; ≥18 target areas; non-random multi-area combinations.",
    "effect_size": "591 single neurons; ≥18 target cortical/subcortical areas; dominant mode is multi-target",
    "text_access": "abstract_only",
    "study_system": "Mouse V1, MAPseq barcoded single-neuron projection mapping",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "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). Projections were highly diverse and divergent, collectively targeting at least 18 cortical and subcortical areas.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Most neurons targeted multiple cortical areas, often in non-random combinations, suggesting that sub-classes of intracortical projection neurons exist."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "591 single neurons; ≥18 target cortical/subcortical areas; dominant mode is multi-target",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_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). Projections were highly diverse and divergent, collectively targeting at least 18 cortical and subcortical areas.",
  "study_system": "Mouse V1, MAPseq barcoded single-neuron projection mapping",
  "evidence_refs": [
    {
      "ref": "paper:paper-236d0f50c2dd"
    }
  ],
  "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
  "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": "591 V1 neurons traced; ≥18 target areas; non-random multi-area combinations.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}