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20212026
most citedModel-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning

23 citations · 75 across the 10 of their papers we have counts for

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5 papers · 1 filter

nlin.CD2026

Controlling extreme events in neuronal networks: A single driving signal approach

R. Shashangan, S. Sudharsan, Dibakar Ghosh +1

We show that in a drive-response coupling framework extreme events are suppressed in the response system by the dominance of a single driving signal. We validate this approach acro…

nlin.CD2025★ 7 cited

Propagation of extreme events in multiplex neuronal networks

R. Shashangan, S. Sudharsan, Dibakar Ghosh +1

In previous studies, the propagation of extreme events across nodes in monolayer networks has been extensively studied. In this work, we extend this investigation to explore the pr…

nlin.CD2024

Extreme events in two-coupled chaotic oscillators

S. Sudharsan, Tapas Kumar Pal, Dibakar Ghosh +1

Since 1970, the Rössler system has remained as a considerably simpler and minimal dimensional chaos serving system. Unveiling the dynamics of a system of two coupled chaotic oscill…

nlin.CD2024★ 2 cited

Intermittent cluster synchronization in a unidirectional ring of bursting neurons

Ardhanareeswaran R Sree, Sudharsan S, Senthilvelan M +1

We report a new mechanism through which extreme events with a dragon king-like distribution emerge in a network of unidirectional ring of Hindmarsh-Rose bursting neurons interactin…

nlin.CD2021★ 11 cited

Symmetrical emergence of extreme events at multiple regions in a damped and driven velocity-dependent mechanical system

Sudharsan S, Venkatesan A, Senthilvelan M

In this work, we report the emergence of extreme events in a damped and driven velocity-dependent mechanical system. We observe that the extreme events emerge at multiple points. W…