Modeling and decoding motor cortical activity using a switching Kalman filter

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 6, 2004, Pages 933-942

  Wu, Wei ^a   Black, Michael J ^b,d,e   Mumford, David ^a   Gao, Yun ^a   Bienenstock, Elie ^c   Donoghue, John P ^c  

^a BROWN UNIVERSITY   (United States)

^b Brown Univerity   (United States)

^c BROWN UNIVERSITY   (United States)

^d NASA AMES RESEARCH CENTER   (United States)

^e UNIVERSITY OF TORONTO   (Canada)

Author keywords

Mixture model; Motor cortex; Neural decoding; Neural prosthesis; Switching Kalman filter

Indexed keywords

KALMAN FILTERING; KINEMATICS; MARKOV PROCESSES; NEUROLOGY; PROBABILITY; SWITCHING;

GAUSSIAN MIXTURE; LINEAR FUNCTION; MOTOR CORTICAL NEURONS;

DECODING;

ARTICLE; CELL POPULATION; FILTER; INFORMATION PROCESSING; KINEMATICS; MIXTURE MODEL; MODEL; MOTOR CORTEX; NERVE CELL; NEURAL DECODING; NORMAL DISTRIBUTION; ONLINE SYSTEM; PROBABILITY; PROSTHESIS; STATISTICAL MODEL; SWITCHING KALMAN FILTER;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HAND; LIKELIHOOD FUNCTIONS; MACACA; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MOTOR NEURONS; MOVEMENT; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 2442686773     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.826666     Document Type: Article

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