The surprising phenomenon of chimera in an ensemble of identical oscillators is no more
strange behavior of network dynamics and reality. By this time, this symmetry breaking self …

We study numerically the spatio-temporal behavior of a two-layer multiplex network of
bistable cubic maps when the interlayer coupling is modulated by noise. We refer to this …

The widespread development and use of neural networks have significantly enriched a wide
range of computer algorithms and promise higher speed at lower cost. However, the …

We perform a numerical study on the application of electromagnetic flux on a heterogeneous
network of Chialvo neurons represented by a ring-star topology. Heterogeneities are …

We discover the mechanisms of emergence and the link between two types of symmetry-
broken states, the unbalanced periodic two-cluster states and solitary states, in coupled …

In network analysis, using discrete models, known as map models, brings advantages to the
network since such models are more flexible and efficient than continuous ones. Memristor …

We show that multiplexing (Here, the term “multiplexing” means a special network topology
where a one-layer network is connected to another one-layer networks through coupling …

It has been declared that constructing physical hardware circuits with the reproduction of
abundant electrical activities of neurons is significant in neuron-based engineering …

Due to the diversity in excitability and some intrinsic parameters, these neurons present
different firing patterns and energy diversity becomes distinct. As a result, flexible synapses …

In this paper, a network of interacting neurons based on a two-component system of reaction-
superdiffusion equations with fractional Laplace operator responsible for the coupling …