most citedGeneralized synchronization in the presence of dynamical noise and its detection via recurrent neural networks

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

nlin.CD20251 cited

Transcript-based estimators for characterizing interactions

Manuel Adams, José M. Amigó, Klaus Lehnertz

The concept of transcripts was introduced in 2009 as a means to characterize various aspects of the functional relationship between time series of interacting systems. Based on thi…

nlin.CD2025

Quantifying the irregularity of a time series

Max Potratzki, Manuel Adams, Timo Bröhl +1

We introduce circulance, a scalar measure for classifying time series of dynamical systems. Circulance captures the extent of temporal regularity or irregularity that is encoded in…

math.DS2025

Classifying seizure generation mechanisms: A critical transitions framework

Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4

Understanding how the brain switches from normal activity to an epileptic seizure is essential for improving seizure therapy, yet the underlying mechanisms remain largely unknown.…

physics.ao-ph2025

Discontinuous stochastic forcing in Greenland ice core data

Keno Riechers, Andreas Morr, Klaus Lehnertz +4

Paleoclimate proxy records from Greenland ice cores, archiving e.g. O as a proxy for surface temperature, show that sudden climatic shifts called Dansgaard-Oeschger events…

nlin.CD20257 cited

Generalized synchronization in the presence of dynamical noise and its detection via recurrent neural networks

José M. Amigó, Roberto Dale, Juan C. King +1

Given two unidirectionally coupled nonlinear systems, we speak of generalized synchronization when the responder \textquotedblleft follows\textquotedblright\ the driver. Mathematic…