PT  - JOURNAL ARTICLE
AU  - Baptiste Lefebvre
AU  - Pierre Yger
AU  - Olivier Marre
TI  - Recent progress in multi-electrode spike sorting methods
AID  - 10.1101/086991
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 086991
4099  - http://biorxiv.org/content/early/2016/11/10/086991.short
4100  - http://biorxiv.org/content/early/2016/11/10/086991.full
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.