Version history

{
  "scope": "vip-interneurons",
  "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."
  },
  "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_refs": [
    "paper:paper-f457e091013f"
  ],
  "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.",
  "study_system": null,
  "evidence_refs": [
    {
      "ref": "paper:paper-f457e091013f"
    }
  ],
  "section_title": "In Vivo Function During Behavior",
  "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": "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"
}