Variational Bayesian least squares: An application to brain-machine interface data

Neural Networks

Volumn 21, Issue 8, 2008, Pages 1112-1131

  Ting, Jo Anne ^a   D'Souza, Aaron ^b   Yamamoto, Kenji ^c   Yoshioka, Toshinori ^d   Hoffman, Donna ^e   Kakei, Shinji ^f   Sergio, Lauren ^g   Kalaska, John ^h   Kawato, Mitsuo ^d   Strick, Peter ^e   Schaal, Stefan ^a,d  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b GOOGLE INC   (United States)

^c NATIONAL INSTITUTE OF RADIOLOGICAL SCIENCES   (Japan)

^d ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^e UNIVERSITY OF PITTSBURGH   (United States)

^f TOKYO METROPOLITAN INSTITUTE OF MEDICAL SCIENCE   (Japan)

^g YORK UNIVERSITY   (Canada)

^h UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Brain machine interfaces; Dimensionality reduction; EMG prediction; Feature selection; High dimensional regression; Linear models; Statistical learning; Variational Bayesian methods

Indexed keywords

BRAIN-MACHINE INTERFACES; DIMENSIONALITY REDUCTION; EMG PREDICTION; FEATURE SELECTION; HIGH-DIMENSIONAL REGRESSION; LINEAR MODELS; STATISTICAL LEARNING; VARIATIONAL BAYESIAN METHODS;

BAYESIAN NETWORKS; BOOLEAN FUNCTIONS; CURVE FITTING; KETONES; LEAST SQUARES APPROXIMATIONS; MOTORS; REGRESSION ANALYSIS; VARIATIONAL TECHNIQUES;

NUMBER THEORY;

ALGORITHM; ANIMAL EXPERIMENT; ARM MOVEMENT; ARTICLE; BAYES THEOREM; BRAIN FUNCTION; COMPUTER INTERFACE; COMPUTER MODEL; CONTROLLED STUDY; DATA ANALYSIS; INFORMATION PROCESSING; LINEAR REGRESSION ANALYSIS; MACHINE; MONKEY; MOTOR CORTEX; NERVE CELL; NEUROPHYSIOLOGY; NONHUMAN; PRIORITY JOURNAL;

ALGORITHMS; ANIMALS; BAYES THEOREM; BRAIN; ELECTROMYOGRAPHY; HAPLORHINI; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 53249115199     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.06.012     Document Type: Article

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