RT Journal Article SR Electronic T1 Spike sorting for large, dense electrode arrays JF bioRxiv FD Cold Spring Harbor Laboratory SP 015198 DO 10.1101/015198 A1 Cyrille Rossant A1 Shabnam Kadir A1 Dan F. M. Goodman A1 John Schulman A1 Mariano Belluscio A1 Gyorgy Buzsaki A1 Kenneth D. Harris YR 2015 UL http://biorxiv.org/content/early/2015/02/16/015198.abstract AB Developments in microfabrication technology have enabled the production of neural electrode arrays with hundreds of closely-spaced recording sites, and electrodes with thousands of sites are currently under development. These probes will in principle allow the simultaneous recording of very large numbers of neurons. However, use of this technology requires the development of techniques for decoding the spike times of the recorded neurons, from the raw data captured from the probes. There currently exists no practical solution to this problem of “spike sorting” for large, dense electrode arrays. Here, we present a set of novel tools to solve this problem, implemented in a suite of practical, user-friendly, open-source software. We validate these methods on data from rat cortex, demonstrating error rates as low as 5%.