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  • Cited by 6
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Sawicki, Jakub Omelchenko, Iryna Zakharova, Anna and Schöll, Eckehard 2018. Delay controls chimera relay synchronization in multiplex networks. Physical Review E, Vol. 98, Issue. 6,

    Lahav, Nir Sendiña-Nadal, Irene Hens, Chittaranjan Ksherim, Baruch Barzel, Baruch Cohen, Reuven and Boccaletti, Stefano 2018. Synchronization of chaotic systems: A microscopic description. Physical Review E, Vol. 98, Issue. 5,

    Andrzejak, Ralph G. Ruzzene, Giulia Malvestio, Irene Schindler, Kaspar Schöll, Eckehard and Zakharova, Anna 2018. Mean field phase synchronization between chimera states. Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 28, Issue. 9, p. 091101.

    Esir, Pavel M. Gordleeva, Susan Yu. Simonov, Alexander Yu. Pisarchik, Alexander N. and Kazantsev, Victor B. 2018. Conduction delays can enhance formation of up and down states in spiking neuronal networks. Physical Review E, Vol. 98, Issue. 5,

    Andreev, A. V. Pitsik, E. N. Makarov, V. V. Pisarchik, A. N. and Hramov, A. E. 2018. Dynamics of map-based neuronal network with modified spike-timing-dependent plasticity. The European Physical Journal Special Topics, Vol. 227, Issue. 10-11, p. 1029.

    Banerjee, Amitava and Sikder, Debopriya 2018. Transient chaos generates small chimeras. Physical Review E, Vol. 98, Issue. 3,


Book description

A modern introduction to synchronization phenomena, this text presents recent discoveries and the current state of research in the field, from low-dimensional systems to complex networks. The book describes some of the main mechanisms of collective behaviour in dynamical systems, including simple coupled systems, chaotic systems, and systems of infinite-dimension. After introducing the reader to the basic concepts of nonlinear dynamics, the book explores the main synchronized states of coupled systems and describes the influence of noise and the occurrence of synchronous motion in multistable and spatially-extended systems. Finally, the authors discuss the underlying principles of collective dynamics on complex networks, providing an understanding of how networked systems are able to function as a whole in order to process information, perform coordinated tasks, and respond collectively to external perturbations. The demonstrations, numerous illustrations and application examples will help advanced graduate students and researchers gain an organic and complete understanding of the subject.

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