Details

scope
cortex/HC
claim_text
Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.
section_id
section_06
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_06_evidence_package.json
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-06-synaptic-properties
source_kind
review_finding
source_path
evidence/section_06_evidence_package.json
source_span
study_system
cortex/HC
section_title
Synaptic Properties and Connectivity
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
Raw fields (5)
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": []
}
source_refs
[
  "paper:paper-a93a660fe891"
]
evidence_refs
[
  {
    "ref": "paper:paper-a93a660fe891"
  }
]
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

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