Details

scope
rate-network model of cortical oscillations with two inhibitory classes
claim_text
Rate networks with two inhibitory classes (PV-like fast and SST/VIP-like slow) generate multistable oscillations whose state depends on disinhibitory drive.
section_id
section_13
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_13_evidence_package.json
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-13-conclusion
source_kind
review_finding
source_path
evidence/section_13_evidence_package.json
study_system
rate-network model of cortical oscillations with two inhibitory classes
section_title
Synthesis and Conclusion: Reassessing the Canonical VIP Disinhibitor
evidence_summary
Authors developed a rate-network model of cortical oscillations with two inhibitory classes consistent with the cluster's canonical VIP→SST→pyramidal disinhibitory architecture.
review_bundle_ref
analysis_bundle:ab-2ce40c33e827
replication_status
replicated_independent
review_package_ref
analysis_bundle:ab-2ce40c33e827
source_artifact_ref
wiki_page:computationalreviewvip-13-conclusion
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_13_evidence_package.json
commit_sha
95e761177f7d2ec565983d3307c14ec238f9677c
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (5)
raw_fields
{
  "n": null,
  "id": "cluster_11_finding_127",
  "doi": "10.1101/2025.10.03.680414",
  "pmid": "",
  "year": "2025",
  "claim": "Rate networks with two inhibitory classes (PV-like fast and SST/VIP-like slow) generate multistable oscillations whose state depends on disinhibitory drive.",
  "pmcid": "",
  "title": "Multi-stable oscillations in cortical networks with two classes of inhibition",
  "authors": "Sarkar AD, Ermentrout B.",
  "journal": "bioRxiv",
  "cite_key": "Sarkar2025",
  "evidence": "Authors developed a rate-network model of cortical oscillations with two inhibitory classes consistent with the cluster's canonical VIP→SST→pyramidal disinhibitory architecture.",
  "vip_role": "oscillations",
  "effect_size": null,
  "text_access": "abstract_only",
  "study_system": "rate-network model of cortical oscillations with two inhibitory classes",
  "_source_cluster": "cluster_11_computational_models",
  "replication_status": "replicated_independent",
  "_source_cluster_index": 126,
  "claim_source_sentence": "We reduce the spiking network to a system of nine differential equations that characterize the mean voltage, firing rate, and synaptic conductance for each population and using this we find many instances of multiple rhythms within the network.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-406a4ca8b0fd"
]
source_span
We reduce the spiking network to a system of nine differential equations that characterize the mean voltage, firing rate, and synaptic conductance for each population and using this we find many instances of multiple rhythms within the network.
evidence_refs
[
  {
    "ref": "paper:paper-406a4ca8b0fd"
  }
]
source_policy
{
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  "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": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}

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