- 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."
}- 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).
- 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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