Details

scope
mouse / computational model (GPe phase-resetting network)
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
study_system
mouse / computational model (GPe phase-resetting network)
section_title
The Cortico-Striatal Interface: Topography, Cell Types, and Input Convergence
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
Raw fields (6)
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"
}

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