Version history

{
  "scope": "Type 2 interneuron network model, conductance-based synapses",
  "claim_text": "Networks of Type 2 (resonator) interneurons with hyperpolarizing inhibitory synapses are more robust to noise than those with shunting synapses for gamma synchronization",
  "raw_fields": {
    "n": 0,
    "doi": "10.1523/ENEURO.0399-23.2024",
    "claim": "Networks of Type 2 (resonator) interneurons with hyperpolarizing inhibitory synapses are more robust to noise than those with shunting synapses for gamma synchronization",
    "evidence": "Theoretical analysis and simulations of Type 2 oscillator networks with conductance-based synapses",
    "effect_size": "hyperpolarizing synapses favor synchrony; shunting synapses reduce synchrony except at very high conductance",
    "text_access": "fulltext",
    "study_system": "Type 2 interneuron network model, conductance-based synapses",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "We extended our analysis to homogeneous networks with conductance rather than current based synapses and found that networks with hyperpolarizing inhibitory synapses were more robust to noise than those with shunting synapses, both in the coupled oscillator and SPO regime.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Assuming that reversal potentials are uniformly distributed between shunting and hyperpolarized values, as observed in one experimental study, converting synapses to purely hyperpolarizing favored synchrony in all cases, whereas conversion to purely shunting synapses made synchrony less robust except at very high conductance strengths."
  },
  "section_id": "section_12_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json",
  "effect_size": "hyperpolarizing synapses favor synchrony; shunting synapses reduce synchrony except at very high conductance",
  "review_repo": "ComputationalReviewPV",
  "section_ref": "wiki_page:computationalreviewpv-12",
  "source_kind": "review_finding",
  "source_path": "evidence/section_12_evidence_package.json",
  "source_refs": [
    "paper:paper-5edd1cab0d4a"
  ],
  "source_span": "We extended our analysis to homogeneous networks with conductance rather than current based synapses and found that networks with hyperpolarizing inhibitory synapses were more robust to noise than those with shunting synapses, both in the coupled oscillator and SPO regime.",
  "study_system": "Type 2 interneuron network model, conductance-based synapses",
  "evidence_refs": [
    {
      "ref": "paper:paper-5edd1cab0d4a"
    }
  ],
  "section_title": "Computational Models of PV Circuit Function",
  "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": "df9fc7e8d455b084152c9d713558dae0013cef21",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
  },
  "evidence_summary": "Theoretical analysis and simulations of Type 2 oscillator networks with conductance-based synapses",
  "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-e6261c8263e7",
  "source_artifact_ref": "wiki_page:computationalreviewpv-12",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json",
  "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}