Version history

{
  "scope": "mouse primary visual cortex; cell-type-specific glutamate-receptor blockade of SST interneurons + simultaneous electrophysiology and computational modeling across arousal/contrast states",
  "claim_text": "In mouse primary visual cortex, selective glutamate-receptor blockade of somatostatin (SST) interneurons reveals a paradoxical facilitation of their activity (the hallmark of inhibition stabilization) that grows with increasing stimulus contrast and arousal; a circuit model shows that strong sensory input and high arousal shift the network into a regime where SST cells (rather than other interneuron classes) are necessary to maintain network stability — direct dynamic evidence for input- and state-dependent ISN operation.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.celrep.2025.115954",
    "claim": "In mouse primary visual cortex, selective glutamate-receptor blockade of somatostatin (SST) interneurons reveals a paradoxical facilitation of their activity (the hallmark of inhibition stabilization) that grows with increasing stimulus contrast and arousal; a circuit model shows that strong sensory input and high arousal shift the network into a regime where SST cells (rather than other interneuron classes) are necessary to maintain network stability — direct dynamic evidence for input- and state-dependent ISN operation.",
    "cite_key": "Cammarata2025",
    "evidence": "In a computational model of the visual cortex circuit, increasing sensory input and arousal both move the network toward a regime where other classes of interneurons are no longer sufficient for maintaining network stability.",
    "effect_size": "",
    "text_access": "fulltext",
    "study_system": "mouse primary visual cortex; cell-type-specific glutamate-receptor blockade of SST interneurons + simultaneous electrophysiology and computational modeling across arousal/contrast states",
    "argument_role": "supporting",
    "replication_status": "single_lab",
    "claim_source_sentence": "Antagonizing this key input for the recruitment of SST cells drives a paradoxical facilitation of their activity-the hallmark of inhibition stabilization-with increasing stimulus contrast, and even more so with high arousal.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_10",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
  "effect_size": "",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
  "source_kind": "review_finding",
  "source_path": "evidence/section_10_evidence_package.json",
  "source_refs": [
    "paper:paper-7fa8ffc9f200"
  ],
  "source_span": "Antagonizing this key input for the recruitment of SST cells drives a paradoxical facilitation of their activity-the hallmark of inhibition stabilization-with increasing stimulus contrast, and even more so with high arousal.",
  "study_system": "mouse primary visual cortex; cell-type-specific glutamate-receptor blockade of SST interneurons + simultaneous electrophysiology and computational modeling across arousal/contrast states",
  "evidence_refs": [
    {
      "ref": "paper:paper-7fa8ffc9f200"
    }
  ],
  "section_title": "10. Physiological signature II — persistent activity and attractor dynamics supported by E→E recurrence (delay-period activity in mouse PFC/ALM, working memory, head-direction)",
  "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": "In a computational model of the visual cortex circuit, increasing sensory input and arousal both move the network toward a regime where other classes of interneurons are no longer sufficient for maintaining network stability.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single_lab",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}