Comparison of Synchronization Speed of Regular Networks of Reaction-Diffusion Systems of FitzHugh-Nagumo Type with Unidirectional and Bidirectional Coupling

In this study, the author researches numerical results of comparison synchronization speed regular neural networks with unidirectional and bidirectional coupling. Each neuron is linearly coupled others represented by a reaction-diffusion system FitzHugh-Nagumo type. The result shows that necessary coupling strength for in two cases decreases when number neurons increases. other words, bigger is, easier occurs. Moreover, synchronizing than one over same given neurons.