Version history

{
  "scope": "mouse neocortex layer 6; circuit mapping and paired recordings",
  "claim_text": "Most L6 excitatory neurons form rare connections to other L6 excitatory neurons, while the dominant output of an L6 sublamina is translaminar inhibition via parvalbumin interneurons projecting toward the pia — calling for revision of the canonical six-layer microcircuit.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.celrep.2019.08.048",
    "claim": "Most L6 excitatory neurons form rare connections to other L6 excitatory neurons, while the dominant output of an L6 sublamina is translaminar inhibition via parvalbumin interneurons projecting toward the pia — calling for revision of the canonical six-layer microcircuit.",
    "cite_key": "Frandolig2019",
    "evidence": "Synaptic-connectivity mapping in mouse L6; identification of interlaminar PV interneurons receiving thalamocortical and local L6 input.",
    "effect_size": "Rare E→E L6 connections; dominant L6 inhibitory translaminar output.",
    "text_access": "abstract_only",
    "study_system": "mouse neocortex layer 6; circuit mapping and paired recordings",
    "argument_role": "supporting",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "However, excitatory neurons in layer 6 (L6), a layer whose functional organization is poorly understood, form relatively rare synaptic connections with other cortical excitatory neurons. Here, we show that the vast majority of parvalbumin inhibitory neurons in a sublamina within L6 send axons through the cortical layers toward the pia.",
    "source_provenance_status": "non_substring_match",
    "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": "Rare E→E L6 connections; dominant L6 inhibitory translaminar output.",
  "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-ab9407c26ea7"
  ],
  "source_span": "However, excitatory neurons in layer 6 (L6), a layer whose functional organization is poorly understood, form relatively rare synaptic connections with other cortical excitatory neurons. Here, we show that the vast majority of parvalbumin inhibitory neurons in a sublamina within L6 send axons through the cortical layers toward the pia.",
  "study_system": "mouse neocortex layer 6; circuit mapping and paired recordings",
  "evidence_refs": [
    {
      "ref": "paper:paper-ab9407c26ea7"
    }
  ],
  "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": "Synaptic-connectivity mapping in mouse L6; identification of interlaminar PV interneurons receiving thalamocortical and local L6 input.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replication_unknown",
  "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"
}