- claim_text
The stabilized supralinear network (SSN) model generates gamma oscillations whose peak frequency monotonically increases with external drive, reproducing the contrast-dependence of cortical gamma; this contrast-dependence emerges from the supralinear neuronal I/O function and recurrent E-I structure.
- raw_fields
{
"n": 0,
"doi": "10.1371/journal.pcbi.1012190",
"claim": "The stabilized supralinear network (SSN) model generates gamma oscillations whose peak frequency monotonically increases with external drive, reproducing the contrast-dependence of cortical gamma; this contrast-dependence emerges from the supralinear neuronal I/O function and recurrent E-I structure.",
"cite_key": "Holt2024",
"evidence": "Reduced two-population SSN model; analytic + numerical mapping of gamma peak vs external drive across parameters; benchmarked against V1 contrast-gamma relationship.",
"effect_size": "qualitative robust contrast-monotonic gamma peak increase across parameter regimes",
"text_access": "fulltext",
"study_system": "SSN model of V1 (data from macaque and mouse V1)",
"argument_role": "supporting",
"replication_status": "within_lab",
"claim_source_sentence": "We show that, for a wide range of biological parameters, this reduced SSN model generates gamma oscillations with peak frequency that robustly increases with increasing external drive to the network.",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-21a697680a63"
]
- evidence_refs
[
{
"ref": "paper:paper-21a697680a63"
}
]- 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"
}