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Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-04725-4
Abstract: When assessing spatially extended complex systems, one can rarely sample the states of all components. We show that this spatial subsampling typically leads to severe underestimation of the risk of instability in systems with propagating…
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Keywords:
unobserved systems;
inferring collective;
dynamical states;
collective dynamical ... See more keywords
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Published in 2017 at "Molecular bioSystems"
DOI: 10.1039/c6mb00525j
Abstract: The nuclear matrix associated protein SMAR1 is sensitive to p53 and acts as a stress inducer as well as a regulator in the p53 regulatory network. Depending on the amount of stress SMAR1 stimulates, it…
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Keywords:
apoptosis smar1;
control apoptosis;
smar1;
stress ... See more keywords
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Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.109.014221
Abstract: We investigate the interplay of an external forcing and an adaptive network, whose connection weights coevolve with the dynamical states of the phase oscillators. In particular, we consider the Hebbian and anti-Hebbian adaptation mechanisms for…
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Keywords:
adaptation;
hebbian adaptation;
dynamical states;
anti hebbian ... See more keywords
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Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.110.064207
Abstract: We consider two globally coupled populations of phase oscillators featuring as conformists and contrarians, respectively. By employing an asymmetric parameter for contrarians, we unravel the emergence of various collective dynamical states, including incoherent, chimera, phase…
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Keywords:
globally coupled;
dynamical states;
chimera;
conformists contrarians ... See more keywords
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Published in 2024 at "Chaos"
DOI: 10.48550/arxiv.2401.10298
Abstract: We integrate machine learning approaches with nonlinear time series analysis, specifically utilizing recurrence measures to classify various dynamical states emerging from time series. We implement three machine learning algorithms: Logistic Regression, Random Forest, and Support…
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Keywords:
dynamical states;
machine learning;
machine;
recurrence measures ... See more keywords