DocumentCode :
406969
Title :
Analysis of the approximate differential equation in one-dimensional model of the brain cortex dynamics
Author :
Grebennikov, A. ; Leyva, F.
Author_Institution :
Fac. of Phys.-Math. Sci., Univ. Autonoma de Puebla, Mexico
Volume :
3
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
2807
Abstract :
An ordinary differential equation of second order is considered as a model of a stationary process of the of the cerebral cortex activation. Two types of approximations of the non lineal member of this equation are used and compared: 1) sigmoid function of the exponential type; 2) new type of approximation as a lineal spline. Algorithms for the solution of the direct initial problem, corresponding to each of the approximations, are constructed and carried out as computing programs in the MatLab system. The quality of two approximations is compared on the numerical experiments for synthetic examples.
Keywords :
brain models; differential equations; neurophysiology; brain cortex dynamics; differential equation; lineal spline; one-dimensional model; sigmoid function; Brain modeling; Cerebral cortex; Differential equations; Mathematical model; Potential energy; Spline; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1280501
Filename :
1280501
Link To Document :
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