Version history

{
  "scope": "mouse V1",
  "claim_text": "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.",
  "raw_fields": {
    "n": null,
    "doi": "10.1152/jn.00732.2015",
    "year": "2016",
    "claim": "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.",
    "title": null,
    "journal": "Journal of neurophysiology",
    "cite_key": "Litwinkumar2016",
    "evidence": "Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes",
    "effect_size": null,
    "text_access": "abstract_only",
    "first_author": "Litwin-Kumar",
    "study_system": "mouse V1",
    "_source_cluster": "cluster_06_disinhibition_circuit",
    "author_list_short": "Litwin-Kumar, Rosenbaum, Doiron",
    "replication_status": "replication_unknown",
    "_collapsed_provenance": [
      {
        "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.",
        "source_cluster": "cluster_01_molecular_taxonomy",
        "source_cluster_index": 73
      }
    ],
    "_source_cluster_index": 28,
    "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.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_01",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-01-introduction",
  "source_kind": "review_finding",
  "source_path": "evidence/section_01_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": "mouse V1",
  "evidence_refs": [
    {
      "ref": "paper:paper-8f25714ab7fe"
    }
  ],
  "section_title": "Introduction",
  "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": "Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-01-introduction",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}