From the 1 of 8 linked papers with an AI index.
8 papers
Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach
Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4
The paper presents a seizure detection algorithm based on critical transition theory that accurately identifies seizure onset and offset times in rodent voltage recordings, achievi…
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…
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…
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…
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.…
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…