Artículo
Spike sorting for large, dense electrode arrays
Rossant, Cyrille; Kadir, Shabnam N.; Goodman, Dan F. M.; Schulman, John; Hunter, Maximilian L. D.; Saleem, Aman B.; Grosmark, Andres; Belluscio, Mariano Andres
; Denfield, George H.; Ecker, Alexander S.; Tolias, Andreas S.; Solomon, Samuel; Buzsáki, György; Carandini, Matteo; Harris, Kenneth D.
Fecha de publicación:
04/2016
Editorial:
Nature Publishing Group
Revista:
Nature Neuroscience.
ISSN:
1097-6256
e-ISSN:
1546-1726
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
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%.
Palabras clave:
Spike Sorting
,
Open-Source Software
,
Dense Electrode Arrays
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IFIBIO HOUSSAY)
Articulos de INSTITUTO DE FISIOLOGIA Y BIOFISICA BERNARDO HOUSSAY
Articulos de INSTITUTO DE FISIOLOGIA Y BIOFISICA BERNARDO HOUSSAY
Citación
Rossant, Cyrille ; Kadir, Shabnam N. ; Goodman, Dan F. M. ; Schulman, John; Hunter, Maximilian L. D.; et al.; Spike sorting for large, dense electrode arrays; Nature Publishing Group; Nature Neuroscience.; 19; 4; 4-2016; 634-641
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