Title :
A stochastic model of the visual evoked response
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Ireland, Maynooth, Ireland
Abstract :
A stochastic model for visual evoked response generation is proposed based on a compound neurological generator approach. Participation of individual generators is stochastically modelled in a physiologically realistic manner that captures the inherent variability in latencies and amplitudes associated with the component phases of the response. The model is invertible such that decomposition of real responses to reveal individual unit generator participation is possible and suggests that conventional averaging techniques may provide a truer picture of the visual evoked response than previously thought
Keywords :
neurophysiology; physiological models; stochastic processes; visual evoked potentials; amplitudes; averaging techniques; compound neurological generator approach; decomposition; individual generators; individual unit generator participation; inherent variability; invertible model; latencies; physiologically realistic manner; response component phases; stochastic model; visual evoked response generation; Central nervous system; Degenerative diseases; Delay; Electric variables measurement; Erbium; Nervous system; Neurons; Pollution measurement; Signal processing; Stochastic processes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.897847
