International Journal of Mathematics and Mathematical Sciences
Volume 2007 (2007), Article ID 84260, 8 pages
doi:10.1155/2007/84260

Bifurcation analysis for a two-dimensional discrete-time Hopfield neural network with delays

Abstract

A bifurcation analysis is undertaken for a discrete-time Hopfield neural network with four delays. Conditions ensuring the asymptotic stability of the null solution are obtained with respect to two parameters of the system. Using techniques developed by Kuznetsov to a discrete-time system, we study the Neimark-Sacker bifurcation (also called Hopf bifurcation for maps) of the system. The direction and the stability of the Neimark-Sacker bifurcation are investigated by applying the normal form theory and the center manifold theorem.