Version history

{
  "scope": "cortex/HC",
  "claim_text": "Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.",
  "raw_fields": {
    "n": "",
    "doi": "10.1038/s41598-025-28227-8",
    "claim": "Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.",
    "title": null,
    "cite_key": "Huang2025a",
    "evidence": "Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.. Expectation suppression (ES) refers to the attenuation of neural responses when sensory inputs align with prior predictions, reflecting a core principle of efficient neural coding. To investigate the circuit-level mechanisms underlying ES, we developed a biologically inspired computational model incorporating excitatory pyramidal cells (PCs) and three major types of inhibitory interneurons: parvalbumin-expressing (PV), somatostatin-expressing (SOM), and vasoactive intestinal peptide-expressing (V",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "cortex/HC",
    "_source_cluster": "cluster_05_synaptic_connectivity",
    "replication_status": "single",
    "_source_cluster_index": 179,
    "claim_source_sentence": null,
    "replication_evidence_dois": []
  },
  "section_id": "section_06",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-06-synaptic-properties",
  "source_kind": "review_finding",
  "source_path": "evidence/section_06_evidence_package.json",
  "source_refs": [
    "paper:paper-a93a660fe891"
  ],
  "source_span": "",
  "study_system": "cortex/HC",
  "evidence_refs": [
    {
      "ref": "paper:paper-a93a660fe891"
    }
  ],
  "section_title": "Synaptic Properties and Connectivity",
  "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": "Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.. Expectation suppression (ES) refers to the attenuation of neural responses when sensory inputs align with prior predictions, reflecting a core principle of efficient neural coding. To investigate the circuit-level mechanisms underlying ES, we developed a biologically inspired computational model incorporating excitatory pyramidal cells (PCs) and three major types of inhibitory interneurons: parvalbumin-expressing (PV), somatostatin-expressing (SOM), and vasoactive intestinal peptide-expressing (V",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "single",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-06-synaptic-properties",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}