Version history

{
  "scope": "multiple neuronal types (review)",
  "claim_text": "Kv3 family voltage-dependent K+ channels are uniquely associated with the ability of neurons to fire action potentials at high rates up to 1,000 Hz, with fast activation at depolarized potentials and very fast deactivation rates.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1152/physrev.00002.2017",
    "claim": "Kv3 family voltage-dependent K+ channels are uniquely associated with the ability of neurons to fire action potentials at high rates up to 1,000 Hz, with fast activation at depolarized potentials and very fast deactivation rates.",
    "evidence": "Comprehensive review of Kv3 channel biophysics showing that Kv3.1-Kv3.4 share rapid activation/deactivation at positive potentials, enabling fast-spiking in GABAergic interneurons, auditory brainstem neurons, and Purkinje cells.",
    "effect_size": "firing rates up to 1,000 Hz enabled by Kv3 channels",
    "text_access": "fulltext",
    "study_system": "multiple neuronal types (review)",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "From among the more than 70 different K+ channel genes expressed in neurons, Kv3 family voltage-dependent K+ channels are uniquely associated with the ability of certain neurons to fire action potentials and to release neurotransmitter at high rates of up to 1,000 Hz.",
    "replication_evidence_dois": [
      "10.1523/jneurosci.18-20-08111.1998",
      "10.1523/jneurosci.0722-05.2005"
    ],
    "effect_size_source_sentence": "Kv3 family voltage-dependent K+ channels are uniquely associated with the ability of certain neurons to fire action potentials and to release neurotransmitter at high rates of up to 1,000 Hz."
  },
  "section_id": "section_05_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_05_evidence_package.json",
  "effect_size": "firing rates up to 1,000 Hz enabled by Kv3 channels",
  "review_repo": "ComputationalReviewPV",
  "section_ref": "wiki_page:computationalreviewpv-05",
  "source_kind": "review_finding",
  "source_path": "evidence/section_05_evidence_package.json",
  "source_refs": [
    "paper:paper-52be420ef14e"
  ],
  "source_span": "From among the more than 70 different K+ channel genes expressed in neurons, Kv3 family voltage-dependent K+ channels are uniquely associated with the ability of certain neurons to fire action potentials and to release neurotransmitter at high rates of up to 1,000 Hz.",
  "study_system": "multiple neuronal types (review)",
  "evidence_refs": [
    {
      "ref": "paper:paper-52be420ef14e"
    }
  ],
  "section_title": "Intrinsic Electrophysiology: The Fast-Spiking Phenotype and Its Variants",
  "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": "df9fc7e8d455b084152c9d713558dae0013cef21",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
  },
  "evidence_summary": "Comprehensive review of Kv3 channel biophysics showing that Kv3.1-Kv3.4 share rapid activation/deactivation at positive potentials, enabling fast-spiking in GABAergic interneurons, auditory brainstem neurons, and Purkinje cells.",
  "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-e6261c8263e7",
  "source_artifact_ref": "wiki_page:computationalreviewpv-05",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_05_evidence_package.json",
  "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}