Abstract:
In this paper, we consider a general 2-neuron network model with reaction–diffusion term and time delay. We study the effect of time delay in kinetic terms of reaction–diffusive system. We mainly inves- tigate the effects of time delay and diffusion term on the stability of the neural network model. Later, we present an algorithm to determine the existence of Hopf bifurcation for the delayed system with reaction–diffusion term along with Neumann boundary conditions. We determine the conditions on the delay parameter for the Hopf bifurcation to exist corresponding to the characteristic equation obtained by linearization of system. At the end, we give some numerical examples along with simulation results to show effectiveness of our analytic findings.
