Topic: SpyKING CIRCUS

High-density electrophysiological probes have substantially increased the spatial resolution and scale of neural recordings. Popular spike sorting algorithms, e.g. Kilosort (Pachitariu et al. 2016), SpyKING CIRCUS, etc., use waveform template matching to isolate single units from the large-scale recordings, but these algorithms make numerous errors which often require hours of manual curation to correct. Bursting neurons pose an additional challenge in spike-sorting: the shape and amplitude of a neuron’s waveform can change significantly over the course of a burst. Thus, waveform shape- based