SLAy-ing oversplitting errors in high-density electrophysiology spike sorting.

ABSTRACT: The growing channel count of silicon probes has substantially increased the number of neurons recorded in electrophysiology (ephys) experiments, rendering traditional manual spike sorting impractical. Instead, modern ephys recordings are processed with automated methods that use waveform template matching to isolate putative single neurons. While scalable, automated methods are subject to assumptions that often fail to account for biophysical changes in action potential waveforms, leading to systematic errors. Consequently, manual curation of these errors, which is both time-consuming and lacks reproducibility, remains necessary. To improve efficiency and reproducibility in the spike-sorting pipeline, we introduce here the Spike-sorting Lapse Amelioration System (SLAy), an algorithm that a

SUBMITTER: Koukuntla S 

PROVIDER: S-EPMC12262366 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature