Details

scope
vip-interneurons
section_id
section_08
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_08_evidence_package.json
effect_size
Locomotion required scaling of synaptic weights to reproduce VIP/SST stimulus-dependent responses.
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-08-in-vivo-behavior
source_kind
review_finding
source_path
evidence/section_08_evidence_package.json
source_span
The disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.
section_title
In Vivo Function During Behavior
evidence_summary
Two-photon Ca2+ imaging of all four cell classes (Pyr/SST/VIP/PV) + recurrent network model.
review_bundle_ref
analysis_bundle:ab-2ce40c33e827
replication_status
single_study
review_package_ref
analysis_bundle:ab-2ce40c33e827
source_artifact_ref
wiki_page:computationalreviewvip-08-in-vivo-behavior
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_08_evidence_package.json
commit_sha
95e761177f7d2ec565983d3307c14ec238f9677c
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (5)
claim_text
A recurrent network model of mouse V1 captures the locomotion-driven gain change only when locomotion increases feedforward synaptic weights and modulates recurrent weights between VIP/SST/PV/Pyr; pure disinhibition fails when visual stimuli are present.
raw_fields
{
  "n": null,
  "doi": "10.1016/j.neuron.2018.03.037",
  "year": "2018",
  "claim": "A recurrent network model of mouse V1 captures the locomotion-driven gain change only when locomotion increases feedforward synaptic weights and modulates recurrent weights between VIP/SST/PV/Pyr; pure disinhibition fails when visual stimuli are present.",
  "title": "Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex",
  "journal": "",
  "species": "mouse",
  "cite_key": "Dipoppa2018",
  "evidence": "Two-photon Ca2+ imaging of all four cell classes (Pyr/SST/VIP/PV) + recurrent network model.",
  "effect_size": "Locomotion required scaling of synaptic weights to reproduce VIP/SST stimulus-dependent responses.",
  "text_access": "fulltext",
  "_source_cluster": "cluster_13_neuromodulation",
  "replication_status": "single_study",
  "_source_cluster_index": 24,
  "claim_source_sentence": "The disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "Capturing the effects of locomotion, however, required allowing it to increase feedforward synaptic weights and modulate recurrent weights."
}
source_refs
[
  "paper:paper-f457e091013f"
]
evidence_refs
[
  {
    "ref": "paper:paper-f457e091013f"
  }
]
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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