Model-based neural decoding of reaching movements: A maximum likelihood approach

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 6, 2004, Pages 925-932

  Kemere, Caleb ^a   Shenoy, Krishna V ^b   Meng, Teresa H ^a,b  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; DECODING; ERROR DETECTION; INFORMATION ANALYSIS;

PARADIGM; SYNTHETIC MODELS; TRAJECTORY;

NEURAL NETWORKS;

ARM MOVEMENT; ARTICLE; DATA BASE; ERROR; INFORMATION; INFORMATION PROCESSING; MAXIMUM LIKELIHOOD METHOD; MODEL; NERVE CELL; NEURAL DECODING; NEURAL INFORMATION; PLANNING; REACHING MOVEMENT; SIGNAL DETECTION; SIMULATION; TASK PERFORMANCE; THEORY;

ACTION POTENTIALS; ALGORITHMS; ARM; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MOTOR CORTEX; MOTOR NEURONS; MOVEMENT; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 2442660392     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.826675     Document Type: Article

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