Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 21, Issue 4, 2013, Pages 532-543

  Li, Lin ^a   Park, Memming ^b   Brockmeier, Austin ^a   Chen, Badong ^a   Seth, Sohan ^a,c   Francis, Joseph T ^d   Sanchez, Justin C ^e   Príncipe, José C ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

^d NEW YORK UNIVERSITY   (United States)

^e University of Miami College of Engineering   (United States)

Author keywords

Adaptive inverse control; neural stimulation; Schoenberg kernel; spike timing representations

Indexed keywords

ADAPTIVE INVERSE CONTROL; ELECTRICAL STIMULATIONS; GENERALIZED LINEAR MODEL; NEURAL STIMULATIONS; REPRODUCING KERNEL HILBERT SPACES; SCHOENBERG KERNEL; SPIKE TIMING; TIME VARYING SIGNAL;

ELECTROPHYSIOLOGY; MIMO SYSTEMS;

CONTROLLERS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; ELECTROSTIMULATION; FINITE ELEMENT ANALYSIS; HUMAN; METHODOLOGY; MICROELECTRODE; NERVE CELL; NERVE CELL PLASTICITY; NERVE TRACT; PHYSIOLOGY; REGRESSION ANALYSIS; SIGNAL PROCESSING; STATISTICAL MODEL; PROCEDURES;

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC STIMULATION; ELECTROPHYSIOLOGICAL PROCESSES; FINITE ELEMENT ANALYSIS; HUMANS; LINEAR MODELS; MICROELECTRODES; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONAL PLASTICITY; NEURONS; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84880410517     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2012.2200300     Document Type: Article

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