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Recent Progress in Multi-electrode Spike Sorting Methods

Overview
Journal J Physiol Paris
Specialty Physiology
Date 2017 Mar 7
PMID 28263793
Citations 24
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Abstract

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.

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Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures.

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