Bayesian population decoding of motor cortical activity using a Kalman filter

Neural Computation

Volumn 18, Issue 1, 2006, Pages 80-118

  Wu, Wei ^a   Gao, Yun ^a   Bienenstock, Elie ^b   Donoghue, John P ^b   Black, Michael J ^c  

^a BROWN UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

^c Brown Univerity   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BIOLOGICAL MODEL; BIOMECHANICS; HAND; HUMAN; INNERVATION; MACACA; MOTONEURON; MOTOR CORTEX; MOVEMENT (PHYSIOLOGY); NERVE CELL NETWORK; NERVE TRACT; NORMAL DISTRIBUTION; PHYSIOLOGY; PROSTHESES AND ORTHOSES; SIGNAL PROCESSING; STATISTICAL MODEL; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BAYES THEOREM; BIOMECHANICS; HAND; HUMANS; LINEAR MODELS; MACACA; MODELS, NEUROLOGICAL; MOTOR CORTEX; MOTOR NEURONS; MOVEMENT; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NORMAL DISTRIBUTION; PROSTHESES AND IMPLANTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYNAPTIC TRANSMISSION;

EID: 33644876951     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/089976606774841585     Document Type: Article

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