Target Signal Synchronization Transmission in Coupling Network with Uncertain Parameters

In this paper, the adaptive synchronization transmission of target signal within the nonlinearly unidirectional-coupled neural network is proposed, in which individual neuron is described by the FitzHugh-Nagumo (FHN) model in external electrical noisy environment. We design a network architecture of the unidirectional-coupled FHN system and propose an adaptive coupling strategy to synchronize the network without exactly estimating the coupling coefficients of the chaotic systems, which is very useful for future applications in information communication and processing.