A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces

Journal of Neural Engineering

Volumn 3, Issue 2, 2006, Pages 145-161

  Kim, S P ^a   Sanchez, J C ^b   Rao, Y N ^c   Erdogmus, D ^d   Carmena, J M ^e   Lebedev, M A ^e   Nicolelis, M A L ^e   Principe, J C ^a  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^c MOTOROLA INC   (United States)

^d OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^e DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MODELS; ESTIMATION; INTERFACES (COMPUTER); LEARNING SYSTEMS; MAPPING; NEURAL NETWORKS; OPTIMIZATION; SIGNAL PROCESSING;

CORTICAL NEURONS; LINEAR MODELS; MIMO LINEAR; NON-LINEAR MODELS;

NEUROLOGY;

ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; BRAIN CELL; BRAIN COMPUTER INTERFACE; MONKEY; MOTOR PERFORMANCE; NONHUMAN; NONLINEAR SYSTEM; PARAMETER; PRIORITY JOURNAL; SIGNAL PROCESSING; STATISTICAL MODEL;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BRAIN; COMMUNICATION AIDS FOR DISABLED; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HAPLORHINI; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

ANIMALIA;

EID: 33744901439     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/3/2/009     Document Type: Article

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