The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …

The neuron models have been widely applied to neuromorphic computing systems and
chaotic circuits. However, discrete neuron models and their application in image encryption …

Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …

Dynamical modeling of nervous systems is of fundamental importance in many scientific
fields containing the topics relative to computational neuroscience and biophysics. Many …

Neurons can exhibit abundant electrical activities due to physical effects of various
electrophysiology environments. The electromagnetic induction flows can be triggered by …

In the presence of external stimuli and electromagnetic radiation (EMR), biological neurons
can exhibit different firing patterns and switch to appropriate firing modes because of …

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 …

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 …

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 …