Methods for estimating neural firing rates, and their application to brain-machine interfaces

Neural Networks

Volumn 22, Issue 9, 2009, Pages 1235-1246

  Cunningham, John P ^a   Gilja, Vikash ^a   Ryu, Stephen I ^b   Shenoy, Krishna V ^a,b  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Brain machine interface; Neural firing rate; Neural prosthetic system

Indexed keywords

ANALYTICAL CHALLENGE; BRAIN-MACHINE INTERFACE; DECODING ALGORITHM; FIRING RATES; NEURAL DATA; NEURAL FIRING; NEURAL FIRING RATE; NEURAL PROSTHESIS; NEURAL PROSTHETIC; NEURAL PROSTHETIC SYSTEM; NEURAL SPIKE TRAINS; PROSTHETIC ARM; QUANTITATIVE COMPARISON; SPIKE TRAIN;

ESTIMATION; NEURAL NETWORKS;

PROSTHETICS;

ACTION POTENTIAL; ALGORITHM; ARM MOVEMENT; ARTICLE; BAYES THEOREM; BRAIN COMPUTER INTERFACE; BRAIN NERVE CELL; CALCULATION; KERNEL METHOD; MACACA; NONHUMAN; PRIORITY JOURNAL; PROSTHESIS; RECORDING; SPIKE; TASK PERFORMANCE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ARTIFICIAL LIMBS; BAYES THEOREM; BIOMECHANICS; BRAIN; ELECTRODES, IMPLANTED; HAND; MACACA MULATTA; MALE; MICROELECTRODES; MOTOR ACTIVITY; NEURONS; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 70350217363     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.02.004     Document Type: Article

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