Stochastic instabilities of the diffusive memristor: Simulations and experiment

Recently created diffusive memristors have garnered significant research interest owing to their distinctive capability to generate a diverse array of spike dynamics, which are similar in nature to those found in biological cells. This gives the memristor an opportunity to be used in a wide range of applications, specifically within neuromorphic systems. The diffusive memristor is known to produce regular, chaotic, and stochastic behaviors, which leads to interesting phenomena resulting from the interactions between the behavioral properties. The interactions, along with the instabilities that lead to the unique spiking, phenomena are not fully understood due to the complexities associated with examining the stochastic properties within the diffusive memristor. In this work, we analyze both the classical and the noise-induced bifurcations that a set of stochastic differential equations, justified through a Fokker–Planck equation used to model the diffusive memristor, can produce. Finally, we replicate the results of the numerical stochastic threshold phenomena with experimentally measured spiking.