Volume 3 Number 2 (Mar. 2013)
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IJAPM 2013 Vol.3(2): 117-122 ISSN:2010-362X
DOI: 10.7763/IJAPM.2013.V3.188

Bifurcation Analysis in a Neuronal Model without/with Delay

Shyan-Shiou Chen

Abstract—In this study, we provide a global picture of the bifurcation scenario of a two-dimensional Hindmarsh-Rose (HR) type model. We present all of the possible classifications based on the following results: first, the number and stability of the equilibrium are analyzed in detail with a table built to show not only how to change the stability of the equilibrium but also which two equilibria collapse through the saddle-node bifurcation; secondly, sufficient conditions for an Andronov-Hopf bifurcation and a saddle-node bifurcation are mathematically confirmed; and finally, we provide sufficient conditions for a Bogdanov-Takens (BT) bifurcation and a Bautin bifurcation. Finally, we present characteristic equation for the HR type model with delay. These results provide us a diversity of behaviors for the model. The results in the paper should be helpful when choosing suitable parameters for fitting experimental observations.

Index Terms—Two-dimensional hindmarsh-rose type model, bifurcations.

S. S. Chen is with the Department of Mathematics, National Taiwan Normal University, Taipei, Taiwan (e-mail: sschen@ntnu.edu.tw).


Cite: Shyan-Shiou Chen, "Bifurcation Analysis in a Neuronal Model without/with Delay," International Journal of Applied Physics and Mathematics  vol. 3, no. 2, pp. 117-122, 2013.

General Information

ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Quarterly
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca 
Abstracting/ Indexing:  Index Copernicus, EI (INSPEC, IET), Chemical Abstracts Services (CAS), Nanowerk Database, Google Scholar, EBSCO, etc.
E-mail: ijapm@iap.org
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