DocumentCode
3260955
Title
Bifurcating periodic solutions for a single delayed neuron model under periodic excitation
Author
Liu, Qun ; Wang, Lanfen ; Wu, Yu
Author_Institution
Coll. of Comput. Sci. & Technol., ChongQing Univ. of posts & Telecommun., Chongqing
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
452
Lastpage
457
Abstract
The dynamical characteristics of a single neuron model with time delay under periodic stimuli are studied in this paper. The analysis of the linear stability and the existence of Hopf bifurcation are given. Some numerical stimulations justify that the results of the analytical method are valid by a comparison with those of direct numerical integration.
Keywords
bifurcation; delays; linear systems; neural nets; stability; Hopf bifurcation; linear stability analysis; periodic excitation; single delayed neuron model; time delay; Bifurcation; Computer science; Delay effects; Educational institutions; Equations; Neurons; Perturbation methods; Stability analysis; Taylor series; Vehicle dynamics; Hopf Bifurcation; Periodic stimuli; Time delay; averaging method; periodic motion;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2512-9
Electronic_ISBN
978-1-4244-2513-6
Type
conf
DOI
10.1109/GRC.2008.4664652
Filename
4664652
Link To Document