Memory function of memristive Hindmarsh-Rose model driven by colored noise and electromagnetic induction

Based on the three-dimensional memristive Hindmarsh-Rose model, the effects of Gaussian colored noise and electromagnetic induction on memory function of the memristor and neural firing states are investigated in this paper. It is found that the memory function of memristor can be suppressed by a higher signal frequency, while enhanced by a relatively larger coefficient of the memristor. The memory function of memristor is destroyed by larger values of noise intensity and correlation rate between noises. The neural firing state can be transformed from the spiking state to the chaotic state with the increase of noise intensity or correlation rate. The firing states transition induced by the higher electromagnetic induction intensity is opposite to that by the stronger Gaussian colored noise.

Automated summary

The study investigated the effects of Gaussian colored noise and electromagnetic induction on the memory function of memristor and neural firing states based on the three-dimensional memristive Hindmarsh-Rose model. Results showed that the memory function of memristor could be influenced by signal frequency, coefficient, noise intensity, and correlation rate, while the neural firing state transitioned with changes in noise intensity and correlation rate. The transition of firing states induced by higher electromagnetic induction intensity differed from that induced by stronger Gaussian colored noise.