Version history

{
  "scope": "mouse V1 acute slices, patch-clamp recordings from L5 pyramidal neurons + biophysical multi-compartmental modelling",
  "claim_text": "In mouse V1, L5 pyramidal neurons — the only neocortical cell type whose dendrites span all six cortical layers — display active dendritic properties enabling coincidence detection between basal (intracolumnar) and apical-tuft (L1) translaminar inputs, with the basal-tuft coincidence controlling somatic burst output and contributing to orientation tuning.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1371/journal.pcbi.1004090",
    "claim": "In mouse V1, L5 pyramidal neurons — the only neocortical cell type whose dendrites span all six cortical layers — display active dendritic properties enabling coincidence detection between basal (intracolumnar) and apical-tuft (L1) translaminar inputs, with the basal-tuft coincidence controlling somatic burst output and contributing to orientation tuning.",
    "cite_key": "Shai2015",
    "evidence": "Patch-clamp recordings from L5 pyramidal neurons in mouse V1 slices to measure active dendritic properties; multi-compartmental computational model parameterized to recordings; simulation of orientation tuning.",
    "effect_size": "Coincidence-detection regime supported by experimentally measured Ca2+/Na+ active dendritic properties; sigmoidal composite I/O.",
    "text_access": "fulltext",
    "study_system": "mouse V1 acute slices, patch-clamp recordings from L5 pyramidal neurons + biophysical multi-compartmental modelling",
    "argument_role": "supporting",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "L5 pyramidal neurons are the only neocortical cell type with dendrites reaching all six layers of cortex, casting them as one of the main integrators in the cortical column. Using a detailed multi-compartmental model, we show this physiological setup to be well suited for coincidence detection between basal and apical tuft inputs by controlling the frequency of spike output.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [
      "10.1038/s41586-026-10190-7"
    ],
    "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": "Coincidence-detection regime supported by experimentally measured Ca2+/Na+ active dendritic properties; sigmoidal composite I/O.",
  "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:pmid:25768881"
  ],
  "source_span": "L5 pyramidal neurons are the only neocortical cell type with dendrites reaching all six layers of cortex, casting them as one of the main integrators in the cortical column. Using a detailed multi-compartmental model, we show this physiological setup to be well suited for coincidence detection between basal and apical tuft inputs by controlling the frequency of spike output.",
  "study_system": "mouse V1 acute slices, patch-clamp recordings from L5 pyramidal neurons + biophysical multi-compartmental modelling",
  "evidence_refs": [
    {
      "ref": "paper:pmid:25768881"
    }
  ],
  "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": "Patch-clamp recordings from L5 pyramidal neurons in mouse V1 slices to measure active dendritic properties; multi-compartmental computational model parameterized to recordings; simulation of orientation tuning.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "independently_replicated",
  "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"
}