Version history

{
  "scope": "Neocortex and thalamus electrophysiology in rat, mouse and human",
  "claim_text": "Spike-sorting efficacy was systematically assessed across neocortex and thalamus in rat, mouse and human with Kilosort, MountainSort and SpyKING CIRCUS, revealing that — contrary to the assumption that higher density always helps — there is a region- and species-specific optimum inter-electrode spacing that maximizes single-unit yield per electrode.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1038/s41378-025-01115-x",
    "claim": "Spike-sorting efficacy was systematically assessed across neocortex and thalamus in rat, mouse and human with Kilosort, MountainSort and SpyKING CIRCUS, revealing that — contrary to the assumption that higher density always helps — there is a region- and species-specific optimum inter-electrode spacing that maximizes single-unit yield per electrode.",
    "cite_key": "Meszena2026",
    "evidence": "Quantifies a methodological limit of high-density probes for mouse neocortex sampling — relevant to cluster_14 Neuropixels-limits topic.",
    "effect_size": "Clear region- and species-specific optimum in electrode spacing",
    "text_access": "fulltext",
    "study_system": "Neocortex and thalamus electrophysiology in rat, mouse and human",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Thus, the aims of this study are the following: To assess spike sorting efficacy for different inter-electrode distances across various brain areas (neocortex and thalamus), species (rat, mouse and human), and spike sorting algorithms (Kilosort, MountainSort and SpyKING CIRCUS).",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Contrary to the general assumption that higher electrode density inherently leads to more efficient sorting, both our theoretical and experimental results reveal a clear optimum for electrode spacing specific to species and regions."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "Clear region- and species-specific optimum in electrode spacing",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_evidence_package.json",
  "source_refs": [
    "paper:paper-00c3f5834d31"
  ],
  "source_span": "Thus, the aims of this study are the following: To assess spike sorting efficacy for different inter-electrode distances across various brain areas (neocortex and thalamus), species (rat, mouse and human), and spike sorting algorithms (Kilosort, MountainSort and SpyKING CIRCUS).",
  "study_system": "Neocortex and thalamus electrophysiology in rat, mouse and human",
  "evidence_refs": [
    {
      "ref": "paper:paper-00c3f5834d31"
    }
  ],
  "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
  "source_policy": {
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    "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"
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  "evidence_summary": "Quantifies a methodological limit of high-density probes for mouse neocortex sampling — relevant to cluster_14 Neuropixels-limits topic.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}