Interest in resistance switching is currently growing apace. The promise of novel high‐
density, low‐power, high‐speed nonvolatile memory devices is appealing enough, but …

Memristors are one of the emerging technologies that can potentially replace state-of-the-art
integrated electronic devices for advanced computing and digital and analog circuit …

The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …

Continuous memristor has been widely used in chaotic oscillating circuits and neuromorphic
computing systems. However, discrete memristor and its coupling discrete map have not …

Memristors can be employed to mimic biological neural synapses or to describe
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …

When possessing a potential difference between two neurons, an electromagnetic induction
current appears in the Hopfield neural network (HNN), which can be emulated by a flux …

Memristors have been proposed for a number of applications from nonvolatile memory to
neuromorphic systems. Unlike conventional devices based solely on electron transport …

It has been extensively studied to employ memristors to model the relationship between the
electromagnetic field and the membrane potential, especially for the research of modeling …

A change in neuronal-action potential can generate a magnetically induced current during
the release and propagation of intracellular ions. To better characterize the electromagnetic …

The continuous memristor models have been applied to various chaotic circuits. However,
the discrete memristor models and their applications to discrete maps haven't attracted much …