Version history

{
  "scope": "Mouse S1; large-scale array-tomography (~0.17 mm³ volume); EM cross-validation",
  "claim_text": "Quantitative array tomography of a ~1 × 0.83 × 0.21 mm³ volume of mouse S1 enables synapse-level mapping of thalamocortical inputs onto whole L5 pyramidal cells, providing a quantitative anatomical method scalable to entire neuron dendritic trees.",
  "raw_fields": {
    "n": 0,
    "doi": "10.3389/fncir.2013.00177",
    "claim": "Quantitative array tomography of a ~1 × 0.83 × 0.21 mm³ volume of mouse S1 enables synapse-level mapping of thalamocortical inputs onto whole L5 pyramidal cells, providing a quantitative anatomical method scalable to entire neuron dendritic trees.",
    "cite_key": "Rah2013",
    "evidence": "Large-scale array tomography volume reconstruction in mouse S1 with quantitative thalamocortical-synapse mapping onto L5 pyramidal neurons; parallel EM validation in L4.",
    "effect_size": "Reconstructed volume: ~0.17 mm³ (1 × 0.83 × 0.21 mm).",
    "text_access": "abstract_only",
    "study_system": "Mouse S1; large-scale array-tomography (~0.17 mm³ volume); EM cross-validation",
    "argument_role": "supporting",
    "replication_status": "single_study",
    "claim_source_sentence": "We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 × 0.83 × 0.21 mm(3) volume of mouse somatosensory cortex.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 × 0.83 × 0.21 mm(3) volume of mouse somatosensory cortex."
  },
  "section_id": "section_04",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json",
  "effect_size": "Reconstructed volume: ~0.17 mm³ (1 × 0.83 × 0.21 mm).",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-04-translaminar",
  "source_kind": "review_finding",
  "source_path": "evidence/section_04_evidence_package.json",
  "source_refs": [
    "paper:a3fcf790-bfc9-4b6d-a52d-f08e1ebfbc00"
  ],
  "source_span": "We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 × 0.83 × 0.21 mm(3) volume of mouse somatosensory cortex.",
  "study_system": "Mouse S1; large-scale array-tomography (~0.17 mm³ volume); EM cross-validation",
  "evidence_refs": [
    {
      "ref": "paper:a3fcf790-bfc9-4b6d-a52d-f08e1ebfbc00"
    }
  ],
  "section_title": "4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections",
  "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": "Large-scale array tomography volume reconstruction in mouse S1 with quantitative thalamocortical-synapse mapping onto L5 pyramidal neurons; parallel EM validation in L4.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single_study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-04-translaminar",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}