Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

The superconducting Josephson junction shows spiking and bursting behaviors, which have
similarities with neuronal spiking and bursting. This phenomenon had been observed long …

Employing electronic component including memristor and Josephson junction to mimic
biological neuron or synapse has elicited intense research in recent years. Neurons …

Transition of firing modes via synapse is a crucial step in neural coding. The
neuron/synapse-like circuits have been proposed to simulate neural behaviors and …

Some electronic components including memristors and Josephson junctions have potential
application to mimic biological neurons or synapses characteristics. In this paper, an …

The role of topological heterogeneity in the origin of extreme events in a network is
investigated here. The dynamics of the oscillators associated with the nodes are assumed to …

Understanding and predicting uncertain things are the central themes of scientific evolution.
Human beings revolve around these fears of uncertainties concerning various aspects like a …

In this study, we employ a machine learning approach to infer the complex dynamics of
dragon king extreme events. Specifically, we utilize two distinct machine learning …

Formulating mitigation strategies is one of the main aspect in the dynamical study of extreme
events. Apart from the effective control, easy implementation of the devised tool should also …

Since Galileo's time, the pendulum has evolved into one of the most exciting physical
objects in mathematical modeling due to its vast range of applications for studying various …