Version history

{
  "scope": "Mouse cortex (Pyr, PV-Cre, SST-Cre), ex vivo whole-cell patch clamp + computational model of Up states",
  "claim_text": "During cortical Up states in mouse, PV interneurons (not SST) are the dominant inhibition stabilizer of recurrent E→E activity, and the Pyr↔PV recurrent inhibitory loop is stronger than the Pyr↔SST loop.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1523/jneurosci.2830-20.2021",
    "claim": "During cortical Up states in mouse, PV interneurons (not SST) are the dominant inhibition stabilizer of recurrent E→E activity, and the Pyr↔PV recurrent inhibitory loop is stronger than the Pyr↔SST loop.",
    "cite_key": "RomeroSosa2021",
    "evidence": "Combined patch-clamp F-I characterization of Pyr, PV, SST neurons in mouse cortex; three-population computational model parametrized from data; experimental validation of inhibitory loop strengths.",
    "effect_size": "qualitative — paradoxical effect is present in most regimes of two-inhibitory-class model with empirically derived F-I curves; Pyr↔PV loop stronger than Pyr↔SST",
    "text_access": "abstract_only",
    "study_system": "Mouse cortex (Pyr, PV-Cre, SST-Cre), ex vivo whole-cell patch clamp + computational model of Up states",
    "argument_role": "supporting",
    "replication_status": "within_lab",
    "claim_source_sentence": "Simulations revealed that the intrinsic properties were sufficient to predict that PV neurons are primarily responsible for generating the nontrivial fixed points representing Up states.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Simulations and analytical methods demonstrated that while the paradoxical effect is not obligatory in a model with two classes of inhibitory neurons, it is present in most regimes."
  },
  "section_id": "section_09",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
  "effect_size": "qualitative — paradoxical effect is present in most regimes of two-inhibitory-class model with empirically derived F-I curves; Pyr↔PV loop stronger than Pyr↔SST",
  "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-cf99b8f6c806"
  ],
  "source_span": "Simulations revealed that the intrinsic properties were sufficient to predict that PV neurons are primarily responsible for generating the nontrivial fixed points representing Up states.",
  "study_system": "Mouse cortex (Pyr, PV-Cre, SST-Cre), ex vivo whole-cell patch clamp + computational model of Up states",
  "evidence_refs": [
    {
      "ref": "paper:paper-cf99b8f6c806"
    }
  ],
  "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": "Combined patch-clamp F-I characterization of Pyr, PV, SST neurons in mouse cortex; three-population computational model parametrized from data; experimental validation of inhibitory loop strengths.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "within_lab",
  "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"
}