Version history

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

  1. Live eebaf8e9c539
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse V1 (visual cortex); layer L5",
      "claim_text": "Unsupervised representation learning on >30,000 dendritic skeletons from MICrONS V1/AL/RL shows excitatory neuron morphology forms a continuum varying along three axes (soma depth, total apical, total basal length).",
      "raw_fields": {
        "n": 30000,
        "doi": "10.1038/s41467-025-58763-w",
        "claim": "Unsupervised representation learning on >30,000 dendritic skeletons from MICrONS V1/AL/RL shows excitatory neuron morphology forms a continuum varying along three axes (soma depth, total apical, total basal length).",
        "cite_key": "Weis2025",
        "evidence": "Low-dimensional embedding (bar codes) of >30,000 reconstructed dendritic skeletons from MICrONS volume.",
        "effect_size": ">30,000 neurons",
        "text_access": "fulltext",
        "study_system": "Mouse V1 (visual cortex); layer L5",
        "argument_role": "supporting",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "Our analysis suggests that excitatory neurons’ morphologies form a continuum, with notable exceptions such as layer 5 thick-tufted cells, and vary with respect to three major axes: soma depth, total apical, and total basal skeletal length.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "We apply this approach to a large-scale anatomical datasetto obtain low-dimensional vector embeddings (\"bar codes”) of more than 30,000 neurons in mouse visual areas V1, AL, and RL."
      },
      "section_id": "section_06",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json",
      "effect_size": ">30,000 neurons",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
      "source_kind": "review_finding",
      "source_path": "evidence/section_06_evidence_package.json",
      "source_refs": [
        "paper:paper-4be2ac5ab52e"
      ],
      "source_span": "Our analysis suggests that excitatory neurons’ morphologies form a continuum, with notable exceptions such as layer 5 thick-tufted cells, and vary with respect to three major axes: soma depth, total apical, and total basal skeletal length.",
      "study_system": "Mouse V1 (visual cortex); layer L5",
      "evidence_refs": [
        {
          "ref": "paper:paper-4be2ac5ab52e"
        }
      ],
      "section_title": "6. Connectomic resolution — MICrONS mouse V1/HVA millimetre-scale EM volume; pyramidal-pyramidal wiring statistics derived from it; reconciliation with paired-recording estimates",
      "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": "Low-dimensional embedding (bar codes) of >30,000 reconstructed dendritic skeletons from MICrONS volume.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }