Spike sorting for large, dense electrode arrays
Rossant C, Kadir SN, Goodman DFM, Schulman J, Hunter MLD, Saleem AB, Grosmark A, Belluscio M, Denfield GH, Ecker AS, Tolias AS, Solomon S, Buzsáki G, Carandini M, Harris KD
Nature Neuroscience
(2016)
Abstract
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 under development. These probes 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. Here we present a set of tools to solve this problem,
implemented in a suite of practical, user-friendly, open-source software.
We validate these methods on data from the cortex, hippocampus and thalamus
of rat, mouse, macaque and marmoset, demonstrating error rates as low as 5%.
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Spike sorting.
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