Phototube can capture and transmit external illumination with high frequency into
photocurrent in the nonlinear circuit, which can be tamed to produce the main dynamical …

Pattern formation and synchronization stability in the network are dependent on the local
kinetics, connection type, and property of coupling channel. The coupling channels is often …

Abstract Models of neurons play an essential role in computational neuroscience. They
provide a virtual laboratory to analyze the different regimes in the electrical activities of a …

In this paper, a four-dimensional Morris–Lecar (M–L) model with a memristor is improved by
introducing synaptic dynamics, and an M–L model with time delay and Gaussian white noise …

The occurrence of vibrational resonance in an enzymatic substrate reaction described by a
fractional-order birhythmic biological model driven by a low-frequency and a high-frequency …

This briefly investigates the bipartite finite time synchronization in fractional-order impulsive
signed networks (FISNs), where there exist antagonistic communication links between …

Recently, the researches have focused on the models that can simulate all the internal and
external activities of neurons. The exchange of ions such as calcium, sodium, and potassium …

In this article, we construct an excitable memristive diffusive neuron model by considering a
biophysical slow–fast bursting oscillator and study the effects of electromagnetic induction …

The phenomenon of the chimera state symbolizes the coexistence of coherent and
incoherent sections of a given population. This phenomenon identified in several physical …

Reliable neuron models play an essential role in identifying the electrical activities, global
bifurcation patterns, and dynamic mechanisms of neurons in electromagnetic environments …