Version history

{
  "scope": "mouse; cortex; whole-cell patch; The Journal of physiology",
  "claim_text": "Intralaminarly both PV and VIP IN effectively target L5 SST IN.",
  "raw_fields": {
    "n": null,
    "doi": "10.1113/jp288309",
    "claim": "Intralaminarly both PV and VIP IN effectively target L5 SST IN.",
    "cite_key": "Preuss2026",
    "evidence": "Layer (L) 5 is a hub in the cortical column in which a multitude of feedforward and feedback pathways converge. These inputs are then transmitted to distant sites by resident pyramidal neurons (PN). L5 PN are under the strong influence of local somatostatin (SST)-expressing interneurons (IN). To better understand the inhibitory control of L5 SST cells, which leads to disinhibition of excitatory cells, we used paired whole-cell patch-clamp recordings in acute brain slices. We investigat...",
    "effect_size": "In addition to MC ≈35% of L5 SST IN can be morphologically classified as nMC.",
    "text_access": "fulltext",
    "study_system": "mouse; cortex; whole-cell patch; The Journal of physiology",
    "argument_role": "supporting",
    "replication_status": "single_study",
    "claim_source_sentence": "In triple transgenic mice we found that intralaminarly both PV and VIP IN effectively target L5 SST IN.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "claim_rewritten_from_source": true,
    "effect_size_source_sentence": "In addition to MC ≈35% of L5 SST IN can be morphologically classified as nMC."
  },
  "section_id": "section_09",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
  "effect_size": "In addition to MC ≈35% of L5 SST IN can be morphologically classified as nMC.",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
  "source_kind": "review_finding",
  "source_path": "evidence/section_09_evidence_package.json",
  "source_refs": [
    "paper:paper-737e539c1091"
  ],
  "source_span": "In triple transgenic mice we found that intralaminarly both PV and VIP IN effectively target L5 SST IN.",
  "study_system": "mouse; cortex; whole-cell patch; The Journal of physiology",
  "evidence_refs": [
    {
      "ref": "paper:paper-737e539c1091"
    }
  ],
  "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation",
  "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": "Layer (L) 5 is a hub in the cortical column in which a multitude of feedforward and feedback pathways converge. These inputs are then transmitted to distant sites by resident pyramidal neurons (PN). L5 PN are under the strong influence of local somatostatin (SST)-expressing interneurons (IN). To better understand the inhibitory control of L5 SST cells, which leads to disinhibition of excitatory cells, we used paired whole-cell patch-clamp recordings in acute brain slices. We investigat...",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single_study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}