| This Master thesis consists of four chapters, mainly considering the stability and bifurcation in the systems of delay differential equations representing the neural network models containing tri-neurons with time-delayed connections.;In Chapter 1, some background of neural networks and the motivation of this work are briefly addressed.;In Chapter 2, we mainly show the stability analysis. By constructing Liapunov functional, we obtain the global stability condition. Then we show the delay-independent and delay-dependent conditions for local stability respectively.;In Chapter 3, we discuss the bifurcations. By using the center manifold theory and normal form method, we propose the transcritical, pitchfork and Hopf bifurcation analysis.;In the last chapter, by using the global Hopf bifurcation result and high-dimensional Bendixson's criterion, we show that the local Hopf bifurcation can be extended globally after certain critical values of delay. |
