Compared with continuous memristor, discrete memristor is more suitable for the application
of memristor in discrete system. However, discrete memristor has not been fully appreciated …

Establishing a realistic and multiplier-free implemented biological neuron model is
significant for recognizing and understanding natural firing behaviors, as well as advancing …

Biological neurons are clustered and functional synapses are created to propagate electric
signals accompanying with formation of spatial patterns in the neural network. From physical …

The Rulkov map model is an efficient model for reproducing different dynamics of the
neurons. In specific neurons, the electrical activity is regulated by time‐delayed self …

In this work, with the aim of reducing the cost of the implementation of the traditional 2D FHN
neuron circuit, a pair of diodes connected in an anti-parallel direction is used to replace the …

This paper investigates the dynamical behavior of the Rulkov neuron model under
quasiperiodic forcing, focusing on the emergence and mechanisms of strange nonchaotic …

A previously overlooked version of the so-called Olsen model of the peroxidase–oxidase
reaction has been studied numerically using 2D isospike stability and maximum Lyapunov …

The existence of strange nonchaotic attractors (SNAs) and the associated mechanisms are
studied in a class of quasiperiodically forced piecewise smooth systems. We show that the …

In this paper, a dynamical model is developed for the four-wheel-steering (4WS) vehicles,
with nonlinear lateral tyre forces and quasi-periodic disturbances from the steering …

In this study, we investigate the impact of first and second-order coupling strengths on the
stability of a synchronization manifold in a Discrete FitzHugh–Nagumo (DFHN) neuron …