Likelihood Gradient Ascent (LGA): A closed-loop decoder adaptation algorithm for brain-machine interfaces

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 2768-2771

  Dangi, Siddharth ^a   Gowda, Suraj ^a   Carmena, Jose M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION ALGORITHMS; ADAPTIVE KALMAN FILTER; BRAIN MACHINE INTERFACE; BRAIN MACHINE INTERFACE (BMIS); MEAN SQUARED ERROR; NON-HUMAN PRIMATE; OBJECTIVE FUNCTIONS; ON-LINE PERFORMANCE;

ALGORITHMS; KALMAN FILTERS;

ITERATIVE METHODS;

ACTION POTENTIAL; ALGORITHM; ANIMAL; BRAIN COMPUTER INTERFACE; COMPUTER SIMULATION; HUMAN; NERVE CELL; PHYSIOLOGY; PRIMATE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN-COMPUTER INTERFACES; COMPUTER SIMULATION; HUMANS; NEURONS; PRIMATES;

EID: 84886528342     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610114     Document Type: Conference Paper

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