Spike sorting for large, dense electrode arrays

Autores
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.
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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%.
Fil: Rossant, Cyrille. Colegio Universitario de Londres; Reino Unido
Fil: Kadir, Shabnam N.. Colegio Universitario de Londres; Reino Unido
Fil: Goodman, Dan F. M.. Imperial College London; Reino Unido
Fil: Schulman, John. University Of California Berkeley; Estados Unidos
Fil: Hunter, Maximilian L. D.. Colegio Universitario de Londres; Reino Unido
Fil: Saleem, Aman B.. Colegio Universitario de Londres; Reino Unido
Fil: Grosmark, Andres. University Of New York; Estados Unidos
Fil: Belluscio, Mariano Andres. University Of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Denfield, George H.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Ecker, Alexander S.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Tolias, Andreas S.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Solomon, Samuel. Colegio Universitario de Londres; Reino Unido
Fil: Buzsáki, György. University Of New York; Estados Unidos
Fil: Carandini, Matteo. Colegio Universitario de Londres; Reino Unido
Fil: Harris, Kenneth D.. Colegio Universitario de Londres; Reino Unido
Materia
Spike Sorting
Open-Source Software
Dense Electrode Arrays
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/14097
Acceder
id CONICETDig_13004ca6ba93d99d46ffa7fbb7a1829b
oai_identifier_str oai:ri.conicet.gov.ar:11336/14097
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spike sorting for large, dense electrode arraysRossant, CyrilleKadir, Shabnam N.Goodman, Dan F. M.Schulman, JohnHunter, Maximilian L. D.Saleem, Aman B.Grosmark, AndresBelluscio, Mariano AndresDenfield, George H.Ecker, Alexander S.Tolias, Andreas S.Solomon, SamuelBuzsáki, GyörgyCarandini, MatteoHarris, Kenneth D.Spike SortingOpen-Source SoftwareDense Electrode Arrayshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Developments 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%.Fil: Rossant, Cyrille. Colegio Universitario de Londres; Reino UnidoFil: Kadir, Shabnam N.. Colegio Universitario de Londres; Reino UnidoFil: Goodman, Dan F. M.. Imperial College London; Reino UnidoFil: Schulman, John. University Of California Berkeley; Estados UnidosFil: Hunter, Maximilian L. D.. Colegio Universitario de Londres; Reino UnidoFil: Saleem, Aman B.. Colegio Universitario de Londres; Reino UnidoFil: Grosmark, Andres. University Of New York; Estados UnidosFil: Belluscio, Mariano Andres. University Of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Denfield, George H.. Baylor College of Medicine. Department of Neuroscience; Estados UnidosFil: Ecker, Alexander S.. Baylor College of Medicine. Department of Neuroscience; Estados UnidosFil: Tolias, Andreas S.. Baylor College of Medicine. Department of Neuroscience; Estados UnidosFil: Solomon, Samuel. Colegio Universitario de Londres; Reino UnidoFil: Buzsáki, György. University Of New York; Estados UnidosFil: Carandini, Matteo. Colegio Universitario de Londres; Reino UnidoFil: Harris, Kenneth D.. Colegio Universitario de Londres; Reino UnidoNature Publishing Group2016-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/14097Rossant, 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; 634-6411097-62561546-1726enginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/neuro/journal/v19/n4/full/nn.4268.htmlinfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1038/nn.4268info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817237/pdf/emss-67184.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:58:01Zoai:ri.conicet.gov.ar:11336/14097instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:58:02.056CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spike sorting for large, dense electrode arrays
title Spike sorting for large, dense electrode arrays
spellingShingle Spike sorting for large, dense electrode arrays
Rossant, Cyrille
Spike Sorting
Open-Source Software
Dense Electrode Arrays
title_short Spike sorting for large, dense electrode arrays
title_full Spike sorting for large, dense electrode arrays
title_fullStr Spike sorting for large, dense electrode arrays
title_full_unstemmed Spike sorting for large, dense electrode arrays
title_sort Spike sorting for large, dense electrode arrays
dc.creator.none.fl_str_mv 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.
author Rossant, Cyrille
author_facet 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.
author_role author
author2 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.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Spike Sorting
Open-Source Software
Dense Electrode Arrays
topic Spike Sorting
Open-Source Software
Dense Electrode Arrays
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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%.
Fil: Rossant, Cyrille. Colegio Universitario de Londres; Reino Unido
Fil: Kadir, Shabnam N.. Colegio Universitario de Londres; Reino Unido
Fil: Goodman, Dan F. M.. Imperial College London; Reino Unido
Fil: Schulman, John. University Of California Berkeley; Estados Unidos
Fil: Hunter, Maximilian L. D.. Colegio Universitario de Londres; Reino Unido
Fil: Saleem, Aman B.. Colegio Universitario de Londres; Reino Unido
Fil: Grosmark, Andres. University Of New York; Estados Unidos
Fil: Belluscio, Mariano Andres. University Of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Denfield, George H.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Ecker, Alexander S.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Tolias, Andreas S.. Baylor College of Medicine. Department of Neuroscience; Estados Unidos
Fil: Solomon, Samuel. Colegio Universitario de Londres; Reino Unido
Fil: Buzsáki, György. University Of New York; Estados Unidos
Fil: Carandini, Matteo. Colegio Universitario de Londres; Reino Unido
Fil: Harris, Kenneth D.. Colegio Universitario de Londres; Reino Unido
description 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%.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/14097
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
1097-6256
1546-1726
url http://hdl.handle.net/11336/14097
identifier_str_mv 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
1097-6256
1546-1726
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/neuro/journal/v19/n4/full/nn.4268.html
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1038/nn.4268
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817237/pdf/emss-67184.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613732161814528
score 13.070432

Publicaciones similares