借鉴生物神经网络信息传递的抗扰特点，开展了电磁干扰环境下通过仿生方式进行的电子电路抗扰与防护研究，以便采用新原理、新技术和新方法解决传统的电磁干扰防护手段不足的问题。通过基于布尔模型的复杂生物网络拓扑建模与简并特征分析，证明了网络简并性与功能鲁棒性之间的相互作用关系，以解决抗扰原理问题；通过构建基于神经元电路和可塑突触电路的神经网络电路模型，分析了突触权重的分布对于网络自修复特性的影响，以解决防护机制问题。进而，为电磁防护仿生原理及自修复机制的深入研究形成了一定的理论基础并完成了前期实践。

As we borrowed the wisdom from biological neural system，the characteristic of interference-proof in information transferring process has been carefully studied. Our study includes the response of electrical- interference- proof circuit in electromagnetic environment，by means of bionics redesign. By doing so，new principles，new technics and new ways are adopted to solve the unavoidable situations in traditional electromagnet protection design.Thecomplex bionic topological networks based on Boolean model were firstly built and the charactoristic of degeneracy were analyzed，then the bidirectional actions between degeneracy in networks and the robustness of functions were proved in order to fill the gap to deal with the need of interference-proof. Based on the creation of the neuron networks and the electrical synapses in character of plasticity，the effective of the distribution in the weight of synapse to the character of network self- restoration was studied afterwards so that the corresponding mechanism could be defined. In this way，the research laid a theoretical foundation for electromagnetic protection and the self-restoration.

1955年出生，男，山东青岛市人，教授，主要研究方向为计算机体系结构、智能检测与电磁防护