RT Journal Article
SR Electronic
T1 Recent progress in multi-electrode spike sorting methods
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 086991
DO 10.1101/086991
A1 Baptiste Lefebvre
A1 Pierre Yger
A1 Olivier Marre
YR 2016
UL http://biorxiv.org/content/early/2016/11/10/086991.abstract
AB In recent years, arrays of extracellular electrodes have been developed and manufactured to record simultaneously from hundreds of electrodes packed with a high density. These recordings should allow neuroscientists to reconstruct the individual activity of the neurons spiking in the vicinity of these electrodes, with the help of signal processing algorithms. Algorithms need to solve a source separation problem, also known as spike sorting. However, these new devices challenge the classical way to do spike sorting. Here we review different methods that have been developed to sort spikes from these large-scale recordings. We describe the common properties of these algorithms, as well as their main differences. Finally, we outline the issues that remain to be solved by future spike sorting algorithms.