Objective. Deep learning is increasingly permeating neuroscience, leading to a rise in signal-
processing applications for extracellular recordings. These signals capture the activity of …

This study explores the effectiveness of spectral clustering for spike sorting and proposes a
Separability Index to measure the difficulty of spike sorting for a signal. The accuracy of …

Spike sorting, an indispensable process in the analysis of neural biosignals, aims to
segregate individual action potentials from mixed recordings. This study delves into a …

Decoding extracellular recordings is a crucial task in electrophysiology and brain-computer
interfaces. Spike sorting, which distinguishes spikes and their putative neurons from …

Accurate sorting is critical in neural signal processing. This paper presents a spike
denoising method using a transformer network for enhanced spike sorting. Accurate spike …