A unified framework to exploit information in BCI data for continuous prediction

Neurocomputing

Volumn 71, Issue 4-6, 2008, Pages 1022-1031

  Zhu, Xiaoyuan ^a   Wu, Jiankang ^b   Cheng, Yimin ^a   Wang, Yixiao ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Bayesian learning; Brain computer interface; Continuous prediction; EEG; Variational Bayesian method

Indexed keywords

ELECTROENCEPHALOGRAPHY; INTERFACES (COMPUTER); LEARNING ALGORITHMS; VARIATIONAL TECHNIQUES;

AUXILLARY DISTRIBUTION; BRAIN-COMPUTER INTERFACE; LOG POSTERIOR;

BAYESIAN NETWORKS;

ACCURACY; ARTICLE; BAYES THEOREM; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EXPERIMENTAL DESIGN; HUMAN; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; PREDICTION; PRIORITY JOURNAL; PROBABILITY; TASK PERFORMANCE; VALIDATION PROCESS;

EID: 38649118575     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.01.010     Document Type: Article

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