Version history

{
  "scope": "Voltage imaging across cortex (review)",
  "claim_text": "Voltage imaging captures both suprathreshold spikes and the subthreshold membrane potentials underlying them in genetically defined populations, enabling investigation of mouse-cortex neural computation across scales from single-neuron input-output functions to population manifolds.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1117/1.nph.13.s2.s23202",
    "claim": "Voltage imaging captures both suprathreshold spikes and the subthreshold membrane potentials underlying them in genetically defined populations, enabling investigation of mouse-cortex neural computation across scales from single-neuron input-output functions to population manifolds.",
    "cite_key": "Keijser2026",
    "evidence": "Methods review framing voltage imaging as a bridge between cellular and population-scale theory — directly anchors cluster_14 synthesis on multiscale tooling.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "Voltage imaging across cortex (review)",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "By capturing detailed single-neuron activity across increasingly large populations, voltage imaging enables investigation of neural computation across scales, from dendritic integration and input–output functions within single neurons to synaptic plasticity and circuit dynamics in local circuits, and ultimately to population coding and manifold structure in large networks.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_16",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewRecurrence",
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  "source_refs": [
    "paper:paper-61cadefd96d0"
  ],
  "source_span": "By capturing detailed single-neuron activity across increasingly large populations, voltage imaging enables investigation of neural computation across scales, from dendritic integration and input–output functions within single neurons to synaptic plasticity and circuit dynamics in local circuits, and ultimately to population coding and manifold structure in large networks.",
  "study_system": "Voltage imaging across cortex (review)",
  "evidence_refs": [
    {
      "ref": "paper:paper-61cadefd96d0"
    }
  ],
  "section_title": "16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses",
  "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
  },
  "evidence_summary": "Methods review framing voltage imaging as a bridge between cellular and population-scale theory — directly anchors cluster_14 synthesis on multiscale tooling.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}