Stability of Delayed Cohen-Grossberg Neural Networks with Dirichlet Boundary Conditions

In this paper, we study reaction-diffusion Cohen-Grossberg neural networks with Dirichlet boundary conditions and distributed delays. By using topology degree theory and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the equilibrium point. Finally, an example is given to verify the theoretical analysis.