Details

scope
mouse primary visual cortex; cell-type-specific glutamate-receptor blockade of SST interneurons + simultaneous electrophysiology and computational modeling across arousal/contrast states
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_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
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)
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
Raw fields (5)
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
}
source_refs
[
  "paper:paper-7fa8ffc9f200"
]
evidence_refs
[
  {
    "ref": "paper:paper-7fa8ffc9f200"
  }
]
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"
}

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