A method for decoding the neurophysiological spike-response transform

Journal of Neuroscience Methods

Volumn 184, Issue 2, 2009, Pages 337-356

  Stern, Estee ^a   García Crescioni, Keyla ^b   Miller, Mark W ^b   Peskin, Charles S ^c   Brezina, Vladimir ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PUERTO RICO   (Puerto Rico)

^c NEW YORK UNIVERSITY   (United States)

Author keywords

Mathematical modeling; Motor control; Neuromuscular; Neurophysiological input output transform; Nonlinear system identification; Spike trains; Synaptic plasticity; Synaptic transmission

Indexed keywords

ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; MATHEMATICAL MODEL; MOTOR CONTROL; MUSCLE CONTRACTION; NERVE CELL PLASTICITY; NEUROMUSCULAR TRANSMISSION; NEUROPHYSIOLOGY; NONHUMAN; NONLINEAR SYSTEM; PRIORITY JOURNAL; REGRESSION ANALYSIS; SPIKE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CENTRAL NERVOUS SYSTEM; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; FOURIER ANALYSIS; HUMANS; MATHEMATICAL COMPUTING; NEUROMUSCULAR JUNCTION; NEURONS; NEUROPHYSIOLOGY; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYNAPTIC TRANSMISSION;

EID: 70350130544     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.07.034     Document Type: Article

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