DocumentCode
3171296
Title
Hopf bifurcation analysis of a neuron model
Author
Shaorong Li ; Liao, Xiaofeng ; Li, Shaowen
Author_Institution
Coll. of Optoelectronic Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2002
fDate
29 June-1 July 2002
Firstpage
1671
Abstract
In this paper, the bifurcation phenomena of a neural model with distributed delay is investigated. Using the mean time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs. Stability criteria for the bifurcating periodic solutions are obtained. Some computer simulations illustrate correctness of the results.
Keywords
bifurcation; delays; neural nets; stability criteria; Hopf bifurcation analysis; bifurcating periodic solutions; computer simulations; distributed delay; mean time delay; neural networks; neuron model; stability criteria; Asymptotic stability; Bifurcation; Computer simulation; Delay effects; Equations; Information analysis; Kernel; Neural networks; Neurons; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN
0-7803-7547-5
Type
conf
DOI
10.1109/ICCCAS.2002.1179098
Filename
1179098
Link To Document