Hopf bifurcation and chaos in a single inertial neuron model with time delay
A delayed differential equation modelling a single neuron with inertial term subject to time delay is considered in this paper. Hopf bifurcation is studied by using the normal form theory of retarded functional differential equations. When adopting a nonmonotonic activation function, chaotic behavior is observed. Phase plots, waveform plots, and power spectra are presented to confirm the chaoticity. Copyright Springer-Verlag Berlin/Heidelberg 2004
Year of publication: |
2004
|
---|---|
Authors: | Li, Chunguang ; Chen, Guangrong ; Liao, Xiaofeng ; Yu, Juebang |
Published in: |
The European Physical Journal B - Condensed Matter and Complex Systems. - Springer. - Vol. 41.2004, 3, p. 337-343
|
Publisher: |
Springer |
Saved in:
Saved in favorites
Similar items by person
-
Li, Chunguang, (2001)
-
C OPTIMAL ALLOCATION - Tabu search for fuzzy optimization and applications, Cb:000
Li, Chunguang, (2004)
-
Synchronization in coupled map lattices with small-world delayed interactions
Li, Chunguang, (2004)
- More ...