- claim_text
Phase-resetting modeling of mouse GPe networks shows that local inhibition slows and deregularizes background pallidal firing without producing periodic patterns, but in response to a shared brief inhibitory (striatal) input, neurons separate into a synchronized transient-rebound subpopulation and a sustained-inhibition subpopulation.
- raw_fields
{
"n": null,
"doi": "10.1007/s10827-022-00814-y",
"claim": "Phase-resetting modeling of mouse GPe networks shows that local inhibition slows and deregularizes background pallidal firing without producing periodic patterns, but in response to a shared brief inhibitory (striatal) input, neurons separate into a synchronized transient-rebound subpopulation and a sustained-inhibition subpopulation.",
"cite_key": "Olivares2022",
"evidence": "Computational network simulation using phase-resetting model parameterized from mouse GPe slice recordings, with small-world and random connectivity.",
"effect_size": "qualitative — input-driven dichotomization of GPe responses",
"text_access": "abstract_only",
"study_system": "mouse / computational model (GPe phase-resetting network)",
"source_cluster_id": "cluster_03",
"replication_status": "replication_unknown",
"claim_source_sentence": "When stimulated by a shared inhibitory input, the individual neuron responses separated into two groups: one with a short and stereotyped period of inhibition followed by a transient increase in firing probability, and the other responding with a sustained inhibition.",
"replication_evidence_dois": [],
"effect_size_source_sentence": "In both networks, the resting activity was slowed and made more irregular by the local inhibition, but it did not show any periodic pattern."
}- source_refs
[
"paper:paper-00b26fc2cdcc"
]
- source_span
When stimulated by a shared inhibitory input, the individual neuron responses separated into two groups: one with a short and stereotyped period of inhibition followed by a transient increase in firing probability, and the other responding with a sustained inhibition.
- evidence_refs
[
{
"ref": "paper:paper-00b26fc2cdcc"
}
]- 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": "0632aae8abc141909207fe91f6349b9e36489c3b",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}