- 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"
}