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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.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…