E
Ekkehard Ullner
Researcher at University of Aberdeen
Publications - 46
Citations - 1190
Ekkehard Ullner is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Population & Stochastic resonance. The author has an hindex of 16, co-authored 44 publications receiving 1091 citations. Previous affiliations of Ekkehard Ullner include Max Planck Society & University of Potsdam.
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Multistability and Clustering in a Population of Synthetic Genetic Oscillators via Phase-Repulsive Cell-to-Cell Communication
TL;DR: It is shown that phase-repulsive coupling eliminates oscillations in a population of synthetic genetic clocks, and an experimentally feasible synthetic genetic network that contains phase repulsively coupled repressilators with broken temporal symmetry is proposed.
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Vibrational resonance and vibrational propagation in excitable systems
Ekkehard Ullner,Alexey Zaikin,Jordi Garcia-Ojalvo,Jordi Garcia-Ojalvo,R. Báscones,Jürgen Kurths +5 more
TL;DR: In this article, it was shown that an optimal amplitude of the high-frequency driving enhances the response of an excitable system to a low-frequency signal, and that this effect can be extended to spatially extended excitable media, taking the form of an enhanced propagation of the lowfrequency signal.
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Multistability of synthetic genetic networks with repressive cell-to-cell communication
Ekkehard Ullner,Aneta Koseska,Jürgen Kurths,Jürgen Kurths,Jürgen Kurths,E.I. Volkov,Holger Kantz,Jordi Garcia-Ojalvo +7 more
TL;DR: An experimentally feasible synthetic genetic network consisting of two phase repulsively coupled repressilators, which evokes multiple coexisting stable attractors with different features, is investigated, which performs a bifurcation analysis to determine and classify the dynamical structure of the system.
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Cooperative differentiation through clustering in multicellular populations.
TL;DR: This work systematically investigates the dynamical behavior of a population of synthetic genetic oscillators coupled by chemical means and shows that dynamical clustering is a generic property of multicellular systems and argues that such clustering might provide a basis for functional differentiation and variability in biological systems.
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Oscillatory amplification of stochastic resonance in excitable systems.
TL;DR: In systems which combine both oscillatory and excitable properties, and hence intrinsically possess two internal frequencies, the effect of stochastic resonance can be amplified by application of an additional high-frequency signal, which is in resonance with the oscillatory frequency.