Abstract: Nowadays, the adverse effects of various electromagnetic interferences on electronic systems are becoming more serious today, and the shortcomings of traditional anti-electromagnetic interfe- rence methods are increasingly prominent. Electromagnetic bionics proposes to establish a new protection mode based on the bionic model by referring to the excellent characteristics of adaptive anti-interference of organisms. The small-world spiking neural network with the Izhikevich model and the plasticity of excitatory and inhibitory is constructed. Based on complex network theory, topology characteristics of small world networks with different rewiring probability are compared. The anti-interference ability of small world spiking neural networks with different rewiring probability under Gaussian white noise are compared. The experimental results show that average path length and global efficiency of the small world network are less affected by the rewiring probability, and average clustering coefficient and small world property are greatly affected by the rewiring probability. The small world spiking neural network has certain anti-interference ability, and the network with high clustering coefficient and low average path length has the best anti-interference ability.

Key words: small world network, spiking neural network, rewiring probability, synaptic plasticity, anti-interference