Version history

{
  "scope": "spiking microcircuit model of cortex",
  "claim_text": "A microcircuit model with VIP–SST disinhibitory motif develops cell-type-specific encoding of prediction and reward during novelty detection, balancing representational capacity against metabolic cost.",
  "raw_fields": {
    "n": null,
    "id": "cluster_11_finding_42",
    "doi": "10.1101/2025.05.13.653877",
    "pmid": null,
    "year": "2025",
    "claim": "A microcircuit model with VIP–SST disinhibitory motif develops cell-type-specific encoding of prediction and reward during novelty detection, balancing representational capacity against metabolic cost.",
    "pmcid": null,
    "title": "Cell-type-specific encoding of prediction and reward in cortical microcircuits during novelty detection",
    "authors": "Sharafeldin A, Choi H.",
    "journal": null,
    "cite_key": "Sharafeldin2025",
    "evidence": "Spiking microcircuit with PV, SST, VIP, pyramidal neurons trained on novelty/reward task; emergent specialization without hardcoded novelty detection.",
    "effect_size": null,
    "text_access": "abstract_only",
    "study_system": "spiking microcircuit model of cortex",
    "_source_cluster": "cluster_11_computational_models",
    "replication_status": "replicated_independent",
    "_source_cluster_index": 41,
    "claim_source_sentence": "Critically, these emerge without hard-coded novelty detection and reveal a computational role for the VIP–SST disinhibitory motif in balancing representational capacity and metabolic cost.",
    "replication_evidence_dois": [
      "10.1016/j.neuron.2023.11.006",
      "10.1101/2024.09.30.615819",
      "10.1016/j.neuron.2018.03.037",
      "10.1162/netn_a_00427",
      "10.1523/eneuro.0235-21.2021"
    ],
    "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-36544da9c2fc"
  ],
  "source_span": "Critically, these emerge without hard-coded novelty detection and reveal a computational role for the VIP–SST disinhibitory motif in balancing representational capacity and metabolic cost.",
  "study_system": "spiking microcircuit model of cortex",
  "evidence_refs": [
    {
      "ref": "paper:paper-36544da9c2fc"
    }
  ],
  "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": "Spiking microcircuit with PV, SST, VIP, pyramidal neurons trained on novelty/reward task; emergent specialization without hardcoded novelty detection.",
  "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"
}