Details

scope
spiking E/I network with multiple interneurons
claim_text
A model with feedforward and feedback inhibition by PV and SST/VIP populations modulates theta-gamma cross-frequency coupling, with disinhibitory VIP recruitment shifting coupling strength.
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
spiking E/I network with multiple interneurons
section_title
Synthesis and Conclusion: Reassessing the Canonical VIP Disinhibitor
evidence_summary
Spiking E/I network with separate PV (feedforward) and SST+VIP (feedback) populations; parameter sweeps quantify CFC.
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_54",
  "doi": "10.1371/journal.pcbi.1013363",
  "pmid": "40802842",
  "year": "2025",
  "claim": "A model with feedforward and feedback inhibition by PV and SST/VIP populations modulates theta-gamma cross-frequency coupling, with disinhibitory VIP recruitment shifting coupling strength.",
  "pmcid": "PMC12393765",
  "title": "The role of feedforward and feedback inhibition in modulating theta-gamma cross-frequency interactions in neural circuits.",
  "authors": "Chalkiadakis D, Sánchez-Claros J, López-Madrona VJ, Canals S, Mirasso CR.",
  "journal": "PLoS computational biology",
  "cite_key": "Chalkiadakis2025b",
  "evidence": "Spiking E/I network with separate PV (feedforward) and SST+VIP (feedback) populations; parameter sweeps quantify CFC.",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "spiking E/I network with multiple interneurons",
  "_source_cluster": "cluster_11_computational_models",
  "replication_status": "replicated_independent",
  "_source_cluster_index": 53,
  "claim_source_sentence": "Using previously acquired electrophysiological data from the hippocampus of rats freely navigating in a familiar environment or in a novel one, we show that CFD is dynamically regulated and linked to the frequency of the gamma band, as predicted by the model.",
  "replication_evidence_dois": [
    "10.1016/j.neuron.2023.11.006",
    "10.1101/2025.05.13.653877",
    "10.1101/2024.09.30.615819",
    "10.1016/j.neuron.2018.03.037",
    "10.1162/netn_a_00427"
  ],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-625612fd621b"
]
source_span
Using previously acquired electrophysiological data from the hippocampus of rats freely navigating in a familiar environment or in a novel one, we show that CFD is dynamically regulated and linked to the frequency of the gamma band, as predicted by the model.
evidence_refs
[
  {
    "ref": "paper:paper-625612fd621b"
  }
]
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": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}

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