A machine learning approach to the analysis of time–frequency maps, and its application to neural dynamics

Author:

Vialatte François B.,Martin Claire,Dubois Rémi,Haddad Joëlle,Quenet Brigitte,Gervais Rémi,Dreyfus Gérard

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference33 articles.

1. Complex independent component analysis of frequency-domain electroencephalographic data;Anemuller;Neural Networks,2003

2. The BCI Competition 2003: Progress and perspectives in detection and discrimination of EEG single trials;Blankertz;IEEE Transaction on Biomedical Engineering,2004

3. The quefrency analysis of time series for echoes: Cepstrum, pseudo-autocovariance, cross-cepstrum and saphe cracking;Bogert,1963

4. Distinct patterns of brain oscillations underlie two basic parameters of human maze learning;Caplan;Journal of Neurophysiology,2001

5. Classification of EEG mental patterns by using two scalp electrodes and mahalanobis distance-based classifiers;Cincotti;Methods of Information in Medicine,2002

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