Version history

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

  1. Live 9543d2907a89
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse barrel cortex slices; whole-cell patch-clamp of L6 CT and CC neurons identified via Ntsr1-Cre",
      "claim_text": "In mouse barrel cortex L6, corticothalamic neurons are intrinsically less excitable than corticocortical neurons, providing an intrinsic contribution (beyond synaptic input strength) to the low CT firing rates observed in vivo.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1016/j.celrep.2017.11.049",
        "claim": "In mouse barrel cortex L6, corticothalamic neurons are intrinsically less excitable than corticocortical neurons, providing an intrinsic contribution (beyond synaptic input strength) to the low CT firing rates observed in vivo.",
        "cite_key": "Crandall2017",
        "evidence": "Whole-cell patch-clamp intrinsic-property measurements of L6 CT vs CC neurons in Ntsr1-Cre mouse barrel cortex slices.",
        "effect_size": "CT neurons less intrinsically excitable than CC neurons (qualitative).",
        "text_access": "fulltext",
        "study_system": "Mouse barrel cortex slices; whole-cell patch-clamp of L6 CT and CC neurons identified via Ntsr1-Cre",
        "argument_role": "supporting",
        "replication_status": "single_study",
        "claim_source_sentence": "We also found that CT neurons are intrinsically less excitable, revealing that both synaptic and intrinsic mechanisms contribute to the low firing rates of CT neurons often reported in vivo.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_04",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json",
      "effect_size": "CT neurons less intrinsically excitable than CC neurons (qualitative).",
      "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:paper-78f81bfb11b4"
      ],
      "source_span": "We also found that CT neurons are intrinsically less excitable, revealing that both synaptic and intrinsic mechanisms contribute to the low firing rates of CT neurons often reported in vivo.",
      "study_system": "Mouse barrel cortex slices; whole-cell patch-clamp of L6 CT and CC neurons identified via Ntsr1-Cre",
      "evidence_refs": [
        {
          "ref": "paper:paper-78f81bfb11b4"
        }
      ],
      "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": "Whole-cell patch-clamp intrinsic-property measurements of L6 CT vs CC neurons in Ntsr1-Cre mouse barrel cortex slices.",
      "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"
    }