- raw_fields
{
"n": "n_unknown",
"doi": "10.1523/eneuro.0459-24.2025",
"claim": "Stabilized Supralinear Network Model of Responses to Surround Stimuli in Primary Visual Cortex",
"cite_key": "Obeid2025",
"evidence": "Abstract of eNeuro 2025 paper (PMID 40228865).",
"effect_size": "",
"text_access": "abstract_only",
"study_system": "Mouse V1 (visual cortex)",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "We show that a stabilized supralinear network (SSN) with biologically plausible connectivity and synaptic efficacies that depend on cortical distance and orientation difference between units can consistently reproduce phenomena (1) and (3), and, qualitatively, phenomenon (2).",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": ""
}- source_refs
[
"paper:paper-87e1cd00ec60"
]
- source_span
We show that a stabilized supralinear network (SSN) with biologically plausible connectivity and synaptic efficacies that depend on cortical distance and orientation difference between units can consistently reproduce phenomena (1) and (3), and, qualitatively, phenomenon (2).
- evidence_refs
[
{
"ref": "paper:paper-87e1cd00ec60"
}
]- 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"
}