Much research effort has been directed in different physiological contexts towards describing realistic behaviors with differential equations. One observes obviously that more state-variables give the model more accuracy. Unfortunately, the computational cost involved is higher. A new algorithm is presented for simulating a model described by a system of differential equations in which efficiency may not be altered by its size. In order to do this, the method is based on a polynomial description of the state-variables' evolution and on a computation distributed control. Evaluations and results performed with classical models like Fitzhugh Nagumo or Hodgkin Huxley, allow validation of the method and exhibits its potential to decrease the computational costs.
@article{inserm-00134398,
author = {Tudoret, F. and Bardou, Alain and Carrault, Guy},
title = {Numerically solving physiological models based on a polynomial approach.},
journal = {HAL},
volume = {2001},
number = {0},
year = {2001},
language = {en},
url = {http://dml.mathdoc.fr/item/inserm-00134398}
}
Tudoret, F.; Bardou, Alain; Carrault, Guy. Numerically solving physiological models based on a polynomial approach.. HAL, Tome 2001 (2001) no. 0, . http://gdmltest.u-ga.fr/item/inserm-00134398/