Multistability and symmetry breaking have been significantly investigated recently. In this
paper, we study the effects of symmetry breaking on the behavior of a particular class of …

The energy efficiency of neural signal transmission is thought to be an important constraint
in the nervous system. It is generally measured as the energy consumed per unit of …

Memristor-based neuron models can effectively mimic firing activity of biological neurons
and have attracted extensive attention. The firing activity of neurons is affected by complex …

Real-world networks are rarely isolated; rather, they constitute a large number of elements
interacting through complex topologies and oscillation is essential for their proper …

Synchronization in complex networks is an evergreen subject with numerous applications in
biological, social, and technological systems. We here study whether a transition from a …

Previous studies have observed that electromagnetic induction can seriously affect the
electrophysiological activity of the nervous system. Considering the role of astrocytes in …

Since memristors can be used to describe electromagnetic induction effects, this paper
proposes a novel 4D HindMarsh-Rose (HR) neuron model based on two flux-controlled …

The dynamics of nonlinear circuits becomes dependent on the initials setting when
memristor is included to design nonlinear circuits, and this memristive circuits can cause …

In this paper, we present the emergence of bursting oscillations, mixed-mode oscillations
and transient chaos in the forced Liénard system. The system exhibits intriguing dynamical …

Memristor is the fourth basic electronic component in addition to resistor, capacitor and
inductor. It is a nonlinear device with memory characteristics, which can be used to design …