Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 6, 2007, Pages 1053-1066

  Song, Dong ^a   Chan, Rosa H M ^a   Marmarelis, Vasilis Z ^a   Hampson, Robert E ^b   Deadwyler, Sam A ^b   Berger, Theodore W ^a  

^a University of Southern California ^*  (United States)

^b WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

Feedback; Hippocampus; Laguerre expansion; Multiple input; Multiple output system; Spatio temporal pattern; Spike; Time rescaling theorem; Volterra kernel

Indexed keywords

ELECTROPHYSIOLOGY; FEEDBACK; FEEDFORWARD CONTROL; MATHEMATICAL MODELS; NEUROLOGY;

HIPPOCAMPUS; LAGUERRE EXPANSION; MULTIPLE-INPUT MULTIPLE-OUTPUT SYSTEM; NEURAL PROSTHESIS; SPATIO-TEMPORAL PATTERN; SPIKE TRAIN; TIME-RESCALING THEOREM; VOLTERRA KERNEL;

PROSTHETICS;

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BRAIN CORTEX; BRAIN ELECTROPHYSIOLOGY; COMPUTER MODEL; COMPUTER PREDICTION; CONTROLLED STUDY; DENDRITE; HIPPOCAMPUS; KERNEL METHOD; LINEAR SYSTEM; MALE; NONHUMAN; NONLINEAR SYSTEM; RAT; SIGNAL NOISE RATIO; SPATIAL SUMMATION; SPIKE WAVE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; COGNITION DISORDERS; COMPUTER SIMULATION; DEEP BRAIN STIMULATION; ELECTRIC STIMULATION; HIPPOCAMPUS; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS; NEURONS; NONLINEAR DYNAMICS; PROSTHESIS DESIGN;

EID: 34249290763     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.891948     Document Type: Article

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