It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Chimeras are this year coming of age since they were first observed by Kuramoto and
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …

The ideal magnetic flux-controlled memristor was introduced into a four-dimensional chaotic
system and combined with fractional calculus theory, and a novel four-dimensional …

Experimental data suggest that temporal neural activity regulates the synaptic weight, a
phenomenon known as activity-dependent synaptic plasticity. Thus far, a diversity of …

The coexistence of different attractors, known as multistability, is an exciting phenomenon in
the nonlinear dynamics field. Multistability has been widely studied in different dynamical …

Perception of voice means acoustic electric conversion in the auditory system, and changes
of external magnetic field can affect the neural activities by taming the channel current via …

During continuous diffusion and propagation of intracellular ions, energy transition between
electric and magnetic field is proceeded to present appropriate firing patterns. For theoretical …

In this paper, we propose and study a two-layer network composed of a Petri net in the first
layer and a ring of coupled Hindmarsh–Rose neurons in the second layer. Petri nets are …

Inverse chaotic resonance is a phenomenon in which the neuronal mean firing rate exhibits
a minimum with respect to the chaotic activity. In this paper, the inverse chaotic resonance …

Condensation has long been a closely studied problem in statistical physics but little
attention has been paid to neural science. Here, we discuss this problem in brain networks …