Adaptive decoding for brain-machine interfaces through bayesian parameter updates

Neural Computation

Volumn 23, Issue 12, 2011, Pages 3162-3204

  Li, Zheng ^a   O'doherty, Joseph E ^a   Lebedev, Mikhail A ^a   Nicolelis, Miguel A L ^a,b  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Edmond and Lily Safra International Institute of Neuroscience of Natal   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ADAPTATION; ANIMAL; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER INTERFACE; INSTRUMENTATION; LETTER; MACACA MULATTA; MOTOR CORTEX; NERVE CELL; NEUROPROSTHESIS; PHYSIOLOGY; SIGNAL PROCESSING; SOMATOSENSORY CORTEX; STANDARD;

ACTION POTENTIALS; ADAPTATION, PHYSIOLOGICAL; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; MACACA MULATTA; MOTOR CORTEX; NEURAL PROSTHESES; NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOMATOSENSORY CORTEX; USER-COMPUTER INTERFACE;

EID: 84863067405     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00207     Document Type: Letter

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