Memristor is a nonlinear electronic component with memory properties, it is widely used in a
variety of nonlinear circuits for extensive adaptive control and model description of neural …

Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

The ion exchange in neurons can trigger time-varying magnetic fields. According to the
superposition field principle, each neuron is exposed to the integrated magnetic field …

Recently, a photosensitive model has been proposed that takes into account nonlinear
encoding and responses of photosensitive neurons that are subject to optical signals. In the …

Biological neurons can receive inputs and capture a variety of external stimuli, which can be
encoded and transmitted as different electric signals. Thus, the membrane potential is …

Continuous pump and transmission of charges such as calcium, potassium, sodium in the
cell can induce time-varying electromagnetic field, and the induced electric field can further …

In this paper, a meminductor emulator and an active memristor emulator are designed to
construct a new chaotic circuit. The initial-condition-triggered amplitude, frequency and …

Played as an important nonlinear electric device, memristor is often used to build a variety of
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …

One-layer membrane separates the gradient field in and out of the cell, while some two-layer
membranes filled with excitable media/material are important to regulate the energy flow …

Based on a hybrid neuronal model of the Hindmarsh–Rose (HR) model (the slow negative
feedback dynamics) with the Wilson model (the fast variable dynamics), the discharge …