School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China
Copyright © 2012 Yingguo Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We consider the nonlinear dynamical behavior of a
three-dimensional recurrent neural network with time delay. By choosing the
time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs
when the delay passes through a sequence of critical values. Applying the nor-
mal form method and center manifold theory, we obtain some local bifurcation
results and derive formulas for determining the bifurcation direction and the
stability of the bifurcated periodic solution. Some numerical examples are also
presented to verify the theoretical analysis.