Details

scope
cortex/HC
claim_text
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types.
section_id
section_06
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json
effect_size
60 Hz
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-06-synaptic-properties
source_kind
review_finding
source_path
evidence/section_06_evidence_package.json
source_span
study_system
cortex/HC
section_title
Synaptic Properties and Connectivity
review_bundle_ref
analysis_bundle:ab-2ce40c33e827
replication_status
single
review_package_ref
analysis_bundle:ab-2ce40c33e827
source_artifact_ref
wiki_page:computationalreviewvip-06-synaptic-properties
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_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": "",
  "doi": "10.3389/fncom.2025.1568143",
  "claim": "Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types.",
  "title": null,
  "cite_key": "Moreni2025b",
  "evidence": "Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types.. Neural rhythms are ubiquitous in cortical recordings, but it is unclear whether they emerge due to the basic structure of cortical microcircuits or depend on function. Using detailed electrophysiological and anatomical data of mouse V1, we explored this question by building a spiking network model of a cortical column incorporating pyramidal cells, PV, SST, and VIP inhibitory interneurons, and dynamics for AMPA, GABA, and NMDA receptors. The resulting model matched <i>in vivo</i> cell-t",
  "effect_size": "60 Hz",
  "text_access": "fulltext",
  "study_system": "cortex/HC",
  "_source_cluster": "cluster_05_synaptic_connectivity",
  "replication_status": "single",
  "_source_cluster_index": 172,
  "claim_source_sentence": null,
  "replication_evidence_dois": []
}
source_refs
[
  "paper:paper-b58ecaabd35b"
]
evidence_refs
[
  {
    "ref": "paper:paper-b58ecaabd35b"
  }
]
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"
}
evidence_summary
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types.. Neural rhythms are ubiquitous in cortical recordings, but it is unclear whether they emerge due to the basic structure of cortical microcircuits or depend on function. Using detailed electrophysiological and anatomical data of mouse V1, we explored this question by building a spiking network model of a cortical column incorporating pyramidal cells, PV, SST, and VIP inhibitory interneurons, and dynamics for AMPA, GABA, and NMDA receptors. The resulting model matched <i>in vivo</i> cell-t

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