When classified by Petilla criteria, the firing-pattern composition of mouse ba…

{
  "n": null,
  "doi": "10.1093/cercor/bhv202",
  "claim": "When classified by Petilla criteria, the firing-pattern composition of mouse barrel-cortex VIP+ neurons across all layers is 75.4% continuous-adapting, 14.5% irregular-spiking, 5.8% bursting, and 4.3% high-threshold bursting non-adapting.",
  "title": null,
  "cite_key": "Pronneke2015",
  "evidence": "current-clamp characterization of VIP-Cre/tdTomato neurons across L2/3–L6 barrel cortex; Petilla nomenclature applied to firing-pattern at rheobase",
  "effect_size": "CA 75.4%, IS 14.5%, B 5.8%, HTBNA 4.3% (whole population)",
  "text_access": "fulltext",
  "study_system": "mouse VIP-IRES-Cre × Ai14 barrel cortex; Petilla classification",
  "_source_cluster": "cluster_04_intrinsic_electrophysiology",
  "replication_status": "replicated",
  "_source_cluster_index": 25,
  "claim_source_sentence": "2008), showed the following firing patterns: continuous adapting (75.4%), irregular spiking (14.5%), bursting (5.8%), or high threshold bursting nonadapting (4.3%; see Figs 4 C and 5 C for examples).",
  "replication_evidence_dois": [
    "10.1523/jneurosci.17-10-03894.1997",
    "10.1093/cercor/bhw143"
  ],
  "effect_size_source_sentence": "continuous adapting (75.4%), irregular spiking (14.5%), bursting (5.8%), or high threshold bursting nonadapting (4.3%)"
}

[
  "paper:paper-8e91417bef90"
]

[
  {
    "ref": "paper:paper-8e91417bef90"
  }
]

{
  "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."
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  "source_commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}