面向电磁防护仿生的神经元稳定性分析和抗扰特性研究

The Stability and Anti-interference Characteristics of Neuron Facing on Bio-inspired Electromagnetic Protection

为了丰富电磁防护方法,探讨了基于神经抗扰机理的电磁防护仿生新方法。采用李雅普诺夫稳定性理论和Routh-Hurwitz判据研究了Hodgkin-Huxley神经元模型(简称HH神经元模型)的稳定性,对模型参数满足稳定性的解析条件进行了推导。采用相关系数和田口正交方法评估了HH神经元模型抵抗电磁干扰的能力,以抵抗电磁干扰能力最强为目标对模型参数进行了优化。研究结果表明:HH神经元模型要想保持稳定性能参数应该限定在一定范围内取值;HH神经元模型具有抵抗电磁干扰的能力;优化HH神经元模型参数可以提高抵抗电磁干扰的性能。该研究结果为基于神经抗扰机理的仿生电路设计提供了重要的参考。

In order to enrich the electromagnetic protection method,a novel protection method based on the novel mechanism is explored.Based on the Lyapunov stability theory and Routh-Hurwitz criteria,the stability of Hodgkin-Huxley neuron model(named HH neuron model)is studied.The analytical condition for the parameters of HH neuron model is derived.The performance of resisting the electromagnetic interference is assessed by way of the correlation coefficient and the Taguchi orthogonal method.The parameters of HH neuron model are optimized to achieve the stronger ability of resisting the electromagnetic interference.It is found that the values of parameters are limited to guarantee the stability of HH neuron model.The HH neuron model has the performance of resisting the electromagnetic interference.The optimized parameters of the HH neuron model can improve the electromagnetic anti-interference performance.The research results can be adopted to provide the important guidance for designing the bio-inspired circuit based on the anti-interference mechanism of neuron.