Version history

{
  "scope": "Mouse V1; multiple top-down CC and TC inputs (V2M, ACA, ORBvl, LP)",
  "claim_text": "Top-down cortico-cortical inputs from V2M and ACA to mouse V1 converge on L6 pyramidal neurons, while inputs from ORBvl and from lateral-posterior thalamus engage parallel pyramidal subnetworks in L5 with mutual interneuron-mediated inhibition.",
  "raw_fields": {
    "n": null,
    "doi": "10.1038/s41467-024-48924-8",
    "claim": "Top-down cortico-cortical inputs from V2M and ACA to mouse V1 converge on L6 pyramidal neurons, while inputs from ORBvl and from lateral-posterior thalamus engage parallel pyramidal subnetworks in L5 with mutual interneuron-mediated inhibition.",
    "cite_key": "Liu2024b",
    "evidence": "Optogenetics-assisted slice circuit mapping of multiple top-down cortical and thalamic inputs onto identified V1 excitatory and inhibitory neurons.",
    "effect_size": "Top-down inputs overlap in superficial layers but segregate in deep layers (qualitative).",
    "text_access": "abstract_only",
    "study_system": "Mouse V1; multiple top-down CC and TC inputs (V2M, ACA, ORBvl, LP)",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Inputs from the medial secondary visual cortex (V2M) and anterior cingulate cortex (ACA) converge on L6 Pyrs, whereas ventrolateral orbitofrontal cortex (ORBvl) and lateral posterior thalamic nucleus (LP) inputs are processed in parallel in Pyr-type-specific subnetworks (Pyrand Pyr) and drive mutual inhibition between them via local interneurons.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Top-down inputs overlap in superficial layers yet segregate in deep layers."
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "effect_size": "Top-down inputs overlap in superficial layers but segregate in deep layers (qualitative).",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
  "source_kind": "review_finding",
  "source_path": "evidence/section_08_evidence_package.json",
  "source_refs": [
    "paper:paper-a1782066788f"
  ],
  "source_span": "Inputs from the medial secondary visual cortex (V2M) and anterior cingulate cortex (ACA) converge on L6 Pyrs, whereas ventrolateral orbitofrontal cortex (ORBvl) and lateral posterior thalamic nucleus (LP) inputs are processed in parallel in Pyr-type-specific subnetworks (Pyrand Pyr) and drive mutual inhibition between them via local interneurons.",
  "study_system": "Mouse V1; multiple top-down CC and TC inputs (V2M, ACA, ORBvl, LP)",
  "evidence_refs": [
    {
      "ref": "paper:paper-a1782066788f"
    }
  ],
  "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views",
  "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": "Optogenetics-assisted slice circuit mapping of multiple top-down cortical and thalamic inputs onto identified V1 excitatory and inhibitory neurons.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}