Version history

{
  "scope": "rate-based predictive coding microcircuit model with E, PV, SST, VIP populations",
  "claim_text": "A four-interneuron-type cortical microcircuit model implements predictive coding via VIP→SST→excitatory disinhibition during prediction-error computation, generating distinct oscillatory regimes for matched vs. mismatched inputs.",
  "raw_fields": {
    "n": null,
    "id": "cluster_11_finding_02",
    "doi": "10.1371/journal.pcbi.1013469",
    "pmid": "40929236",
    "year": "2025",
    "claim": "A four-interneuron-type cortical microcircuit model implements predictive coding via VIP→SST→excitatory disinhibition during prediction-error computation, generating distinct oscillatory regimes for matched vs. mismatched inputs.",
    "pmcid": "PMC12443261",
    "title": "Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding.",
    "authors": "Lee K, Pennartz CMA, Mejias JF.",
    "journal": "PLoS computational biology",
    "cite_key": "Lee2025",
    "evidence": "Model embeds VIP→SST disinhibitory motif within Bastos-style PC architecture; connection strengths align with empirical Pfeffer-style data.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "rate-based predictive coding microcircuit model with E, PV, SST, VIP populations",
    "_source_cluster": "cluster_11_computational_models",
    "replication_status": "replicated_independent",
    "_source_cluster_index": 1,
    "claim_source_sentence": "For example, our model’s strong excitatory connections between L2/3 excitatory and PV cells and the disinhibitory circuit from VIP to SST to excitatory cells in prediction error microcircuits align with the high connection probabilities and strengths reported in [ 59 ].",
    "replication_evidence_dois": [
      "10.1073/pnas.2504164122",
      "10.1371/journal.pcbi.1012036",
      "10.1093/cercor/bhae378",
      "10.1007/s00422-021-00894-6",
      "10.7554/elife.77594"
    ],
    "effect_size_source_sentence": null
  },
  "section_id": "section_13",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_13_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-13-conclusion",
  "source_kind": "review_finding",
  "source_path": "evidence/section_13_evidence_package.json",
  "source_refs": [
    "paper:paper-193dfb3c1e40"
  ],
  "source_span": "For example, our model’s strong excitatory connections between L2/3 excitatory and PV cells and the disinhibitory circuit from VIP to SST to excitatory cells in prediction error microcircuits align with the high connection probabilities and strengths reported in [ 59 ].",
  "study_system": "rate-based predictive coding microcircuit model with E, PV, SST, VIP populations",
  "evidence_refs": [
    {
      "ref": "paper:paper-193dfb3c1e40"
    }
  ],
  "section_title": "Synthesis and Conclusion: Reassessing the Canonical VIP Disinhibitor",
  "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": "Model embeds VIP→SST disinhibitory motif within Bastos-style PC architecture; connection strengths align with empirical Pfeffer-style data.",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "replicated_independent",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-13-conclusion",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_13_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}