Multiple firing behavior analysis of e-ML neuron based on memristor

In order to study the modulating effect of electromagnetic field on the firing activity of neurons, an improved e-ML neuron model was proposed and analyzed. Based on the stimulation effect of external electromagnetic field on neuron, the e-ML neuron model was constructed by coupling the absolute value magnetic memristor with Morris-Leca neuron. The dynamic analysis of e-ML(Morris Lecar) memristor neuron was carried out by using bifurcation and Lyapunov exponent. The different discharge behavior characteristics of neuron under the influence of parameters and initial conditions under electromagnetic radiation were studied in depth. The dynamic behavior of neuron under different coupling strength, calcium and potassium ion potential and different time ratio factors were discussed. The results show that the magnetic flux e-ML neuron model can exhibit abundant electrical activity, including peak discharge, periodic cluster discharge and chaotic discharge. When the coupling strength between the absolute flux memristor and the ML neuron is different, the neuron has different firing behavior, and the neuron with different coupling strength presents different polystable state.