DocumentCode
3341247
Title
Bifurcation analysis for two coupled Fitzhugh-Nagumo neurons
Author
Bin Zhen ; Fang Han
Author_Institution
Sch. of Civile & Archit. Eng., Wuhan Univ. of Technol., Wuhan, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
450
Lastpage
454
Abstract
In this paper, Hopf bifurcation in two coupled Fitzhugh-Nagumo (FHN) neurons is considered by applying the center manifold theorem. We learn that the condition for Hopf bifurcation is just sufficient but not necessary for the occurrence of a small limit cycle branched from a equilibrium. A stable limit cycle can branch from the equilibrium while its stability has no change. An equilibrium can only lose its stability in some particular directions in high dimensional phase space. Our analysis results indicate that saddle-node point seems to play a big part in the neurodynamics.
Keywords
bifurcation; neural nets; Hopf bifurcation; bifurcation analysis; equilibrium; high dimensional phase space; neurodynamics; saddle-node point; stable limit cycle; two coupled Fitzhugh-Nagumo neurons; Bifurcation; Limit-cycles; Manifolds; Mathematical model; Neurons; Numerical stability; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022018
Filename
6022018
Link To Document