Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
Name
Dauwels_Bumptime-frequency.pdf
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1.17 MB
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Checksum (MD5)
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Author(s)
Vialatte, Francois B.
Sole-Casals, Jordi
Dauwels, Justin H. G.
Maurice, Monique
Cichocki, Andrzej
Date Issued
May 2009
Journal
BMC Neuroscience
Publisher
BioMed Central Ltd.
Citation
Vialatte, Francois et al. “Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals.” BMC Neuroscience 10.1 (2009): 46.
Version
Final published version
Abstract
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
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1186/1471-2202-10-46
