We analyse the dynamics of the improved discretised version of the well known Izhikevich
neuron model under the action of external electromagnetic field. It is found that the improved …

In this paper we have introduced and investigated the collective behavior of a network of
memristive Hindmarsh-Rose (HR) neurons. The proposed model was built considering the …

This contribution is devoted to the study of the collective behavior of two HR neurons
followed by a network of HR neurons. The collective behavior of the two coupled neuron …

We study numerically the spatiotemporal dynamics in a ring network of nonlocally coupled
nonlinear oscillators, each represented by a two-dimensional discrete-time model of the …

We aim to explore the features of destroying the spiral wave regime in a lattice network of
Chialvo neurons by applying external noise with different statistical characteristics. Chialvo …

This paper investigates the dynamics of a Hopfield inertial bi-neuron with double memristive
synaptic weights. The dynamical behavior of the system is investigated with both numerical …

This paper explores novel ways of predicting and classifying the dynamics of piecewise
smooth maps using various deep learning models. Moreover, we have used machine …

The study of chimera states or, more generally, coherence–incoherence patterns has led to
the development of several tools for their identification and characterization. In this work, we …

This paper focuses on the discrete dynamics of the Degn-Harrison model, which is used to
explain the respiration rate oscillation behaviour seen in the continuous cultures of …

Amplitude death (AD) phenomenon is one of the most striking and ubiquitous collective
behaviors of coupled dynamical networks, in which all the dynamical units will cease their …