Localized numerical impulses solutions in diffuse neural networks modeled by the complex fractional Ginzburg-Landau equation
Numerical Analysis
2016-06-20 v2
Abstract
We investigate localized wave solutions in a network of Hindmarsh-Rose neural model taking into account the long-range diffusive couplings. We show by a specific analytical technique that the model equations in the infrared limit (wave number ) can be governed by the complex fractional Ginzburg-Landau (CFGL) equation. According to the stiffness of the system, we propose both the semi and the linearly implicit Riesz fractional finite-difference schemes to solve efficiently the CFGL equation. The obtained fractional numerical solutions for the nerve impulse reveal localized short impulse properties. We also show the equivalence between the continuous CFGL and the discrete Hindmarsh-Rose models for relatively large network.
Keywords
Cite
@article{arxiv.1411.7983,
title = {Localized numerical impulses solutions in diffuse neural networks modeled by the complex fractional Ginzburg-Landau equation},
author = {Alain Mvogo and Antoine Tambue and G. H. Ben-Bolie and T. C. Kofane},
journal= {arXiv preprint arXiv:1411.7983},
year = {2016}
}