Identifying generalized Fitzhugh-Nagumo equation from a numerical solution of Hodgkin-Huxley model
Georgiev, Nikola V.
J. Appl. Math., Tome 2003 (2003) no. 1, p. 397-407 / Harvested from Project Euclid
An analytic time series in the form of numerical solution (in an appropriate finite time interval) of the Hodgkin-Huxley current clamped (HHCC) system of four differential equations, well known in the neurophysiology as an exact empirical model of excitation of a giant axon of Loligo, is presented. Then we search for a second-order differential equation of generalized Fitzhugh-Nagumo (GFN) type, having as a solution the given single component (action potential) of the numerical solution. The given time series is used as a basis for reconstructing orders, powers, and coefficients of the polynomial right-hand sides of GFN equation approximately governing the process of action potential. For this purpose, a new geometrical method for determining phase space dimension of the unknown dynamical system (GFN equation) and a specific modification of least squares method for identifying unknown coefficients are developed and applied.
Publié le : 2003-06-29
Classification:  37N30,  93C15
@article{1057257727,
     author = {Georgiev, Nikola V.},
     title = {Identifying generalized Fitzhugh-Nagumo equation from a numerical solution of Hodgkin-Huxley model},
     journal = {J. Appl. Math.},
     volume = {2003},
     number = {1},
     year = {2003},
     pages = { 397-407},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1057257727}
}
Georgiev, Nikola V. Identifying generalized Fitzhugh-Nagumo equation from a numerical solution of Hodgkin-Huxley model. J. Appl. Math., Tome 2003 (2003) no. 1, pp.  397-407. http://gdmltest.u-ga.fr/item/1057257727/