A regularized discriminative framework for EEG analysis with application to brain-computer interface

NeuroImage

Volumn 49, Issue 1, 2010, Pages 415-432

  Tomioka, Ryota ^a,b,c   Müller, Klaus Robert ^c,d  

^a UNIVERSITY OF TOKYO   (Japan)

^b Tokyo Institute of Technology ^*  (Japan)

^c TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^d Bernstein Center for Computational Neuroscience   (Germany)

Author keywords

Brain computer interface; Convex optimization; Discriminative learning; Discriminative modeling of brain imaging signals; Dual spectral norm; Group lasso; P300 speller; Regularization; Spatio temporal factorization; Trace norm

Indexed keywords

ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFIER; CONTROLLED STUDY; DISCRIMINATION LEARNING; ELECTROENCEPHALOGRAPHY; LEARNING ALGORITHM; MACHINE LEARNING; NEUROIMAGING; NEUROPHYSIOLOGY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SIGNAL PROCESSING; TASK PERFORMANCE;

ALGORITHMS; BRAIN; DISCRIMINATION LEARNING; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; FINGERS; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 70349969800     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.07.045     Document Type: Article

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