Neural decoding of hand motion using a linear state-space model with hidden states

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 17, Issue 4, 2009, Pages 370-378

  Wu, Wei ^a   Kulkarni, Jayant E ^b   Hatsopoulos, Nicholas G ^c   Paninski, Liam ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

Author keywords

Hidden states; Kalman filter; Motor cortex; Neural decoding; State space model

Indexed keywords

APRIORI; BEHAVIORAL STATE; COMPUTATIONALLY EFFICIENT; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIANS; HAND MOTION; HAND MOVEMENT; HIDDEN STATE; HIDDEN STATES; KALMAN FILTER ALGORITHMS; LINEAR STATE SPACE MODEL; MOTOR CORTEX; MUSCULAR ACTIVITIES; NEURAL ACTIVITY; NEURAL DATA; NEURAL DECODING; NEURAL FIRING; NEW MODEL; REACHING MOVEMENTS; STATE MODELS; STATE-SPACE FRAMEWORK; STATE-SPACE MODEL; UNKNOWN STATE; UNOBSERVABLE;

ALGORITHMS; CONTROL THEORY; EXPERIMENTS; KALMAN FILTERS; MOTORS;

DECODING;

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; DYNAMICS; HAND; HAND MOVEMENT; MONKEY; MOTOR CORTEX; NERVE CELL; NEUROPHYSIOLOGY; NONHUMAN; PARAMETER; PRIORITY JOURNAL; SIGNAL PROCESSING; SPACE; VISUOMOTOR COORDINATION;

ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HAND; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; MOTOR CORTEX; MOVEMENT;

EID: 69249156521     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2009.2023307     Document Type: Article

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