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

François B. Vialatte, Jordi Solé-Casals, Justin Dauwels, Monique Maurice, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

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 toolis publicly available as a freeware at the address: http://www.bsp.brain.riken.jp/bumptoolbox/toolbox_home.html

Original languageEnglish
Article number46
JournalBMC Neuroscience
Volume10
DOIs
Publication statusPublished - 12 May 2009
Externally publishedYes

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