Version history

{
  "scope": "theoretical recurrent E-I network with PV/SST/VIP",
  "claim_text": "A recurrent excitatory-inhibitory model with PV, SST and VIP interneurons (connectivity from mouse V1 recordings) shows that disinhibition, surround suppression, and subtractive vs divisive gain modulation of orientation tuning each impose distinct architectural and stimulus-tuning constraints — recurrent inhibitory dynamics must be modeled with multiple IN classes to reproduce experimental cortical phenomena.",
  "raw_fields": {
    "n": null,
    "doi": "10.1152/jn.00732.2015",
    "claim": "A recurrent excitatory-inhibitory model with PV, SST and VIP interneurons (connectivity from mouse V1 recordings) shows that disinhibition, surround suppression, and subtractive vs divisive gain modulation of orientation tuning each impose distinct architectural and stimulus-tuning constraints — recurrent inhibitory dynamics must be modeled with multiple IN classes to reproduce experimental cortical phenomena.",
    "title": null,
    "cite_key": "Litwinkumar2016",
    "evidence": "Theoretical/network modeling of multi-IN cortical circuits constrained by mouse V1 connectivity data.",
    "effect_size": null,
    "text_access": "abstract_only",
    "study_system": "theoretical recurrent E-I network with PV/SST/VIP",
    "target_section": "section_05",
    "_source_cluster": "cluster_01_molecular_taxonomy",
    "replication_status": "single_study",
    "_source_cluster_index": 73,
    "claim_source_sentence": "We study the dynamics of recurrent excitatory-inhibitory model cortical networks with parvalbumin (PV)-, somatostatin (SOM)-, and vasointestinal peptide-expressing (VIP) interneurons, with connectivity properties motivated by experimental recordings from mouse primary visual cortex."
  },
  "section_id": "section_02",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-02-classification",
  "source_kind": "review_finding",
  "source_path": "evidence/section_02_evidence_package.json",
  "source_refs": [
    "paper:paper-8f25714ab7fe"
  ],
  "source_span": "We study the dynamics of recurrent excitatory-inhibitory model cortical networks with parvalbumin (PV)-, somatostatin (SOM)-, and vasointestinal peptide-expressing (VIP) interneurons, with connectivity properties motivated by experimental recordings from mouse primary visual cortex.",
  "study_system": "theoretical recurrent E-I network with PV/SST/VIP",
  "evidence_refs": [
    {
      "ref": "paper:paper-8f25714ab7fe"
    }
  ],
  "section_title": "Molecular Identity and Transcriptomic Taxonomy",
  "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": "Theoretical/network modeling of multi-IN cortical circuits constrained by mouse V1 connectivity data.",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "single_study",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-02-classification",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}