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

Dynamical modeling of neural systems and brain functions has a history of success over the
last half century. This includes, for example, the explanation and prediction of some features …

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

The electric activities of neurons are dependent on the complex electrophysiological
condition in neuronal system, and it indicates that the complex distribution of …

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

Reliable neural circuit can address the field energy in exact form and equivalent Hamilton
energy is obtained for theoretical models. Furthermore, the energy dependence on firing …

This work systematically investigates a large number of oscillatory network configurations
that are able to describe many real systems such as electric power grids, lasers or even the …

A simple model that replicates the dynamics of spiking and spiking-bursting activity of real
biological neurons is proposed. The model is a two-dimensional map that contains one fast …

Employing electronic component including memristor and Josephson junction to mimic
biological neuron or synapse has elicited intense research in recent years. Neurons …

A variety of nonlinear circuits can be tamed to reproduce the main dynamical properties in
neural activities for biological neurons while designing reliable artificial synapses for …