Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals

Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should consequently play a specific functional role, distinct from background EEG acti...

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Detalhes bibliográficos
Autores: Vialatte, François B., Solé-Casals, Jordi, Dauwels, Justin, Maurice, Monique, Cichocki, Andrej
Tipo de documento: artigo
Data de publicação:2008
País:España
Recursos:UVic-UCC
Repositório:RiUVic. Repositori institucional de la UVic-UCC
OAI Identifier:oai:dspace.uvic.cat:10854/1973
Acesso em linha:http://hdl.handle.net/10854/1973
https://doi.org/10.1186/1471-2202-10-46
Access Level:Acceso aberto
Palavra-chave:Tractament del senyal
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repository_id_str
spelling Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signalsVialatte, François B.Solé-Casals, JordiDauwels, JustinMaurice, MoniqueCichocki, AndrejTractament del senyalBackground: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should consequently play a specific functional role, distinct from background EEG activity – especially for cognitive tasks (e.g. working memory tasks), binding mechanisms and perceptual dynamics (e.g. visual binding), or in clinical contexts (e.g. effects of brain disorders). However extracting oscillatory events in single trials, with a reliable and consistent method, is not a simple task. Results: in this work we propose a user-friendly stand-alone toolbox, which models in a reasonable time a bump time-frequency model from the wavelet representations of a set of signals. The software is provided with a Matlab toolbox which can compute wavelet representations before calling automatically the stand-alone application. Conclusion: The tool is publicly available as a freeware at the address: http:// www.bsp.brain.riken.jp/bumptoolbox/toolbox_home.htmlBiomed CentralUniversitat de Vic. Grup de Recerca en Tecnologies DigitalsUniversitat de Vic. Escola Politècnica Superior2013201320082009info:eu-repo/semantics/articleinfo:eu-repo/publishedVersionapplication/pdf12 p.application/pdfhttp://hdl.handle.net/10854/1973https://doi.org/10.1186/1471-2202-10-46reponame:RiUVic. Repositori institucional de la UVic-UCCinstname:UVic-UCCInglésAquest document està subjecte a aquesta llicència Creative Commonshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:dspace.uvic.cat:10854/19732026-06-07T19:15:21Z
dc.title.none.fl_str_mv Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
title Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
spellingShingle Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
Vialatte, François B.
Tractament del senyal
title_short Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
title_full Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
title_fullStr Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
title_full_unstemmed Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
title_sort Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
dc.creator.none.fl_str_mv Vialatte, François B.
Solé-Casals, Jordi
Dauwels, Justin
Maurice, Monique
Cichocki, Andrej
author Vialatte, François B.
author_facet Vialatte, François B.
Solé-Casals, Jordi
Dauwels, Justin
Maurice, Monique
Cichocki, Andrej
author_role author
author2 Solé-Casals, Jordi
Dauwels, Justin
Maurice, Monique
Cichocki, Andrej
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universitat de Vic. Grup de Recerca en Tecnologies Digitals
Universitat de Vic. Escola Politècnica Superior
dc.subject.none.fl_str_mv Tractament del senyal
topic Tractament del senyal
description Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should consequently play a specific functional role, distinct from background EEG activity – especially for cognitive tasks (e.g. working memory tasks), binding mechanisms and perceptual dynamics (e.g. visual binding), or in clinical contexts (e.g. effects of brain disorders). However extracting oscillatory events in single trials, with a reliable and consistent method, is not a simple task. Results: in this work we propose a user-friendly stand-alone toolbox, which models in a reasonable time a bump time-frequency model from the wavelet representations of a set of signals. The software is provided with a Matlab toolbox which can compute wavelet representations before calling automatically the stand-alone application. Conclusion: The tool is publicly available as a freeware at the address: http:// www.bsp.brain.riken.jp/bumptoolbox/toolbox_home.html
publishDate 2008
dc.date.none.fl_str_mv 2008
2009
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/publishedVersion
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10854/1973
https://doi.org/10.1186/1471-2202-10-46
url http://hdl.handle.net/10854/1973
https://doi.org/10.1186/1471-2202-10-46
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Aquest document està subjecte a aquesta llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Aquest document està subjecte a aquesta llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
12 p.
application/pdf
dc.publisher.none.fl_str_mv Biomed Central
publisher.none.fl_str_mv Biomed Central
dc.source.none.fl_str_mv reponame:RiUVic. Repositori institucional de la UVic-UCC
instname:UVic-UCC
instname_str UVic-UCC
reponame_str RiUVic. Repositori institucional de la UVic-UCC
collection RiUVic. Repositori institucional de la UVic-UCC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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