Designing dynamical properties of brain-machine interfaces to optimize task-specific performance

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 5, 2014, Pages 911-920

  Gowda, Suraj ^a   Orsborn, Amy L ^b,c   Overduin, Simon A ^a   Moorman, Helene G ^d   Carmena, Jose M ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California   (United States)

^c NEW YORK UNIVERSITY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Brain machine interfaces (BMIs); Dynamical systems; Kalman filter

Indexed keywords

KALMAN FILTERS;

BRAIN MACHINE INTERFACE; BRAIN MACHINE INTERFACE (BMIS); CLOSED LOOPS; DYNAMICAL EFFECTS; DYNAMICAL PROPERTIES; EMPIRICAL STUDIES; MACAQUE MONKEYS; PERFORMANCE LOSS;

DYNAMICAL SYSTEMS;

ALGORITHM; ANIMAL; BRAIN COMPUTER INTERFACE; CALIBRATION; MALE; PHYSIOLOGY; PROCEDURES; PROSTHESIS; PSYCHOMOTOR PERFORMANCE; REACTION TIME; RHESUS MONKEY; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BRAIN-COMPUTER INTERFACES; CALIBRATION; LINEAR MODELS; MACACA MULATTA; MALE; PROSTHESIS DESIGN; PSYCHOMOTOR PERFORMANCE; REACTION TIME;

EID: 84904407251     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2309673     Document Type: Article

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