Memristive neuron model with an adapting synapse and its hardware experiments

Electromagnetic induction effect caused by neuron potential can be mimicked using memristor. This paper considers a flux-controlled memristor to imitate the electromagnetic induction effect of adapting feedback synapse and presents a memristive neuron model with the adapting synapse. The memristive neuron model is three-dimensional and non-autonomous. It has the time-varying equilibria with multiple stabilities, which results in the global coexistence of multiple firing patterns. Multiple numerical plots are executed to uncover diverse coexisting firing patterns in the memristive neuron model. Particularly, a nonlinear fitting scheme is raised and a fitting activation function circuit is employed to implement the memristive mono-neuron model. Diverse coexisting firing patterns are observed from the hardware experiment circuit and the measured results verify the numerical simulations well.

Automated summary

This paper discusses the use of memristors to mimic the electromagnetic induction effect caused by neuron potential. A flux-controlled memristor is considered to imitate the feedback synapse effect, and a memristive neuron model with adapting synapse is presented. The model is three-dimensional and non-autonomous with time-varying equilibria, resulting in multiple stabilities and the coexistence of multiple firing patterns. Hardware experiments show diverse coexisting firing patterns and confirm the accuracy of the numerical simulations.