Synapses can regulate the energy balance in the neural network. In this work, a two-neuron
network is established by coupling two Morris-Lecar neurons using a memristor synapse …

A memristor synapse with threshold memductance is employed to couple two neurons for
representation of the electromagnetic induction effect triggered by their membrane potential …

We analyze the energy aspects of single and coupled Hindmarsh–Rose (HR) neuron
models with a quadratic flux controlled memristor. The energy function for HR neuron with …

Electrical synapses and external stimuli can affect the exchange and propagation of field
energy between neurons, and thus induce a variety of dynamics and electricity activities of …

In this paper, a novel discrete flux-controlled memristor model combining square and cosine
function is proposed and its properties are analyzed. Then, the discrete memristor is used to …

Neuron is the basic unit of the structure and function of the nervous system. It has the
function of receiving stimulus, producing excitement and conducting excitement. After …

When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …

Synaptic crosstalk is a prevalent phenomenon among neuronal synapses, playing a crucial
role in the transmission of neural signals. Therefore, considering synaptic crosstalk behavior …

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 …

The cellular neural network (CNN) is an implementable solution for fully connected neural
networks. Using nanoscale memristor to realize its nonlinear activation function can simplify …