Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …

A reliable functional neural circuit can estimate the information encoding and signal
exchange between neurons, and thus the recognition of electric activities in biological …

Static distribution of intracellular and extracellular ions can induce the spatial distribution of
electric field in the cell, while stochastic diffusion and propagation of ions can generate …

It has been documented that a cyclic three-neuron-based neural network with resistive
synaptic weights cannot exhibit chaos. Towards this end, a memristive cyclic three-neuron …

Simplicial complexes are mathematical constructions that describe higher-order interactions
within the interconnecting elements of a network. Such higher-order interactions become …

Auditory system in animals can capture external sound signals, which can be converted into
biophysical electric signals, and then the auditory neurons are activated to generate kinds of …

Memristive neurons and memristive neural networks constructed based on memristors have
important research significance for revealing the mystery of the brain. This paper proposes a …

Abstract Rectified Linear Unit (ReLU) is an extremely simple activation function with two-
segment linearity and is usually used in convolutional neural network. To simplify the analog …

Some nonlinear circuits can present similar dynamical properties in the outputs as biological
neurons by taming the external stimulus and bifurcation parameter, and they can be used for …

Bursting is a diverse and common phenomenon in neuronal activation patterns and it
indicates that fast action voltage spiking periods are followed by resting periods. The …