Version history

{
  "scope": "Mouse visual cortex (V1, AL, RL); MICrONS EM reconstructions of excitatory neurons",
  "claim_text": "Data-driven analysis of >30,000 EM-reconstructed mouse-V1/AL/RL excitatory neurons argues that cortical excitatory morphology is better described as a continuum than as discrete m-types — challenging the discrete-type framing used in many E→E claims.",
  "raw_fields": {
    "n": 30000,
    "doi": "10.1038/s41467-025-58763-w",
    "claim": "Data-driven analysis of >30,000 EM-reconstructed mouse-V1/AL/RL excitatory neurons argues that cortical excitatory morphology is better described as a continuum than as discrete m-types — challenging the discrete-type framing used in many E→E claims.",
    "cite_key": "Weis2025",
    "evidence": "Reanalysis of MICrONS that revises a structural claim drawn from earlier smaller datasets — relevant to cluster_14 synthesis on what large-scale connectomics actually supports.",
    "effect_size": ">30,000 excitatory neurons reconstructed across V1, AL, RL",
    "text_access": "abstract_only",
    "study_system": "Mouse visual cortex (V1, AL, RL); MICrONS EM reconstructions of excitatory neurons",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Contrary to previous classifications into discrete morphological types (m-types), our data-driven approach suggests that the morphological landscape of cortical excitatory neurons is better described as a continuum, with a few notable exceptions in layers 5 and 6.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Here, we took a data-driven approach using graph-based machine learning methods to obtain a low-dimensional morphological \"bar code\" describing more than 30,000 excitatory neurons in mouse visual areas V1, AL, and RL that were reconstructed from the millimeter scale MICrONS serial-section electron microscopy volume."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": ">30,000 excitatory neurons reconstructed across V1, AL, RL",
  "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-4be2ac5ab52e"
  ],
  "source_span": "Contrary to previous classifications into discrete morphological types (m-types), our data-driven approach suggests that the morphological landscape of cortical excitatory neurons is better described as a continuum, with a few notable exceptions in layers 5 and 6.",
  "study_system": "Mouse visual cortex (V1, AL, RL); MICrONS EM reconstructions of excitatory neurons",
  "evidence_refs": [
    {
      "ref": "paper:paper-4be2ac5ab52e"
    }
  ],
  "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": "Reanalysis of MICrONS that revises a structural claim drawn from earlier smaller datasets — relevant to cluster_14 synthesis on what large-scale connectomics actually supports.",
  "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"
}