Version history

{
  "scope": "mouse / computational model (GPe phase-resetting network)",
  "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."
  },
  "section_id": "section_03",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_03_evidence_package.json",
  "effect_size": "qualitative — input-driven dichotomization of GPe responses",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-03",
  "source_kind": "review_finding",
  "source_path": "evidence/section_03_evidence_package.json",
  "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.",
  "study_system": "mouse / computational model (GPe phase-resetting network)",
  "evidence_refs": [
    {
      "ref": "paper:paper-00b26fc2cdcc"
    }
  ],
  "section_title": "The Cortico-Striatal Interface: Topography, Cell Types, and Input Convergence",
  "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"
  },
  "evidence_summary": "Computational network simulation using phase-resetting model parameterized from mouse GPe slice recordings, with small-world and random connectivity.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-03",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_03_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}