Version history

{
  "scope": "Mouse V1 cortical-column spiking model.",
  "claim_text": "A detailed mouse V1 cortical-column spiking model parameterised from anatomy and electrophysiology shows that thalamocortical feedforward and cortico-cortical feedback inputs drive opposite cell-type-specific firing patterns across layers and interneuron classes, supporting layered FF/FB-dependent circuit computations.",
  "raw_fields": {
    "n": null,
    "doi": "10.1371/journal.pcbi.1012036",
    "claim": "A detailed mouse V1 cortical-column spiking model parameterised from anatomy and electrophysiology shows that thalamocortical feedforward and cortico-cortical feedback inputs drive opposite cell-type-specific firing patterns across layers and interneuron classes, supporting layered FF/FB-dependent circuit computations.",
    "cite_key": "Moreni2025a",
    "evidence": "Anatomy- and electrophysiology-constrained spiking network model of mouse V1 column with PV/SST/VIP interneurons per laminae and AMPA/GABA/NMDA receptor dynamics.",
    "effect_size": "Cell-type-specific FF/FB-driven firing pattern dichotomies replicated; FB to L1/L5 produces opposite effect on different cell classes compared to FF.",
    "text_access": "abstract_only",
    "study_system": "Mouse V1 cortical-column spiking model.",
    "argument_role": "supporting",
    "replication_status": "not_yet",
    "claim_source_sentence": "We first demonstrate that thalamocortical feedforward (FF) and feedback (FB) stimuli arriving in the column have opposite effects, leading to laminar- and cell-type-specific changes in firing patterns.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "leading to laminar- and cell-type-specific changes in firing patterns."
  },
  "section_id": "section_08",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
  "effect_size": "Cell-type-specific FF/FB-driven firing pattern dichotomies replicated; FB to L1/L5 produces opposite effect on different cell classes compared to FF.",
  "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-a3a99e8d30d7"
  ],
  "source_span": "We first demonstrate that thalamocortical feedforward (FF) and feedback (FB) stimuli arriving in the column have opposite effects, leading to laminar- and cell-type-specific changes in firing patterns.",
  "study_system": "Mouse V1 cortical-column spiking model.",
  "evidence_refs": [
    {
      "ref": "paper:paper-a3a99e8d30d7"
    }
  ],
  "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": "Anatomy- and electrophysiology-constrained spiking network model of mouse V1 column with PV/SST/VIP interneurons per laminae and AMPA/GABA/NMDA receptor dynamics.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "not_yet",
  "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"
}