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nlin.CD2026
Ordinal-pattern transition networks as a symbolic substrate for reservoir computing
Max Potratzki, Thomas G. de Jong, Michael Small +1
Reservoir computing has established itself as a computationally efficient alternative to fully trained recurrent neural networks using a fixed high-dimensional nonlinear substrate…
nlin.CD2026
Complex network topological and spectral determinants of extreme events
Christian Hechler, Timo Bröhl, Ulrike Feudel +1
We study the impact of the coupling topology on the ability of various networked dynamical systems to generate extreme events. By determining the coupling strength that is necessar…