activity
20022026
most citedNonlinear analysis of bivariate data with cross recurrence plots

485 citations · 1.1k across the 30 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

math.DS2023

Universal bifurcation scenarios in delay-differential equations with one delay

Yu Wang, Jinde Cao, Jürgen Kurths +1

We show that delay-differential equations (DDE) exhibit universal bifurcation scenarios, which are observed in large classes of DDEs with a single delay. Each such universality cla…

nlin.AO2023★ 5 cited

Adaptive Dynamical Networks

Rico Berner, Thilo Gross, Christian Kuehn +2

It is a fundamental challenge to understand how the function of a network is related to its structural organization. Adaptive dynamical networks represent a broad class of systems…

nlin.AO2023★ 61 cited

Perspectives on adaptive dynamical systems

Jakub Sawicki, Rico Berner, Sarah A. M. Loos +21

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems like the powe…

nlin.AO2023★ 10 cited

Extreme multistability in symmetrically coupled clocks

Zhen Su, Jürgen Kurths, Yaru Liu +1

Extreme multistability (EM) is characterized by the emergence of infinitely many coexisting attractors or continuous families of stable states in dynamical systems. EM implies comp…

physics.ao-ph2023

Dynamic Arctic weather variability and connectivity

Jun Meng, Jingfang Fan, Uma S Bhatt +1

The rapidly shrinking Arctic sea ice is changing weather patterns and disrupting the balance of nature. Dynamics of Arctic weather variability (WV) plays a crucial role in weather…

cs.NE2023★ 11 cited

Symbiosis of an artificial neural network and models of biological neurons: training and testing

Tatyana Bogatenko, Konstantin Sergeev, Andrei Slepnev +2

In this paper we show the possibility of creating and identifying the features of an artificial neural network (ANN) which consists of mathematical models of biological neurons. Th…