IFIBIO HOUSSAY   25014
INSTITUTO DE FISIOLOGIA Y BIOFISICA BERNARDO HOUSSAY
Unidad Ejecutora - UE
artículos
Título:
Spike sorting for large, dense electrode arrays
Autor/es:
CYRILLE ROSSANT; SHABNAM N KADIR; DAN F. M. GOODMAN; JOHN SCHULMAN; MAXIMILIAN L D HUNTER; AMAN B SALEEM; ANDRES GROSMARK; MARIANO BELLUSCIO; GEORGE H DENFIELD; ALEXANDER S ECKER; ANDREAS S TOLIAS; SAMUEL SOLOMON; GYÖRGY BUZSÁKI; MATTEO CARANDINI; KENNETH D HARRIS
Revista:
NATURE NEUROSCIENCE.
Editorial:
NATURE PUBLISHING GROUP
Referencias:
Lugar: Londres; Año: 2016
ISSN:
1097-6256
Resumen:
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%.