Swati TyagiSubit K. JainSyed AbbasShahlar MeherremRajendra K. Ray2025-10-0620180925-231210.1016/j.neucom.2018.06.008http://dx.doi.org/10.1016/j.neucom.2018.06.008https://gcris.yasar.edu.tr/handle/123456789/7195In 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 investigate 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. (C) 2018 Elsevier B.V. All rights reserved.EnglishNeural network, Time-delay, Reaction-diffusion term, Instability, Hopf bifurcationCELLULAR NEURAL-NETWORKS, PREDATOR-PREY MODEL, PATTERN-FORMATION, EXPONENTIAL STABILITY, VARYING DELAYS, MORPHOGENESIS, SELFArticle