书目名称 | Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators | 编辑 | Rico Berner | 视频video | | 概述 | Nominated as an outstanding Ph.D. thesis by the Technical University of Berlin, Berlin, Germany.Gives a concise overview of synchronization patterns on adaptive networks.Develops new mathematical meth | 丛书名称 | Springer Theses | 图书封面 |  | 描述 | The focus of this thesis is the interplay of synchrony and adaptivity in complex networks. Synchronization is a ubiquitous phenomenon observed in different contexts in physics, chemistry, biology, neuroscience, medicine, socioeconomic systems, and engineering. Most prominently, synchronization takes place in the brain, where it is associated with cognitive capacities like learning and memory, but is also a characteristic of neurological diseases like Parkinson and epilepsy. Adaptivity is common in many networks in nature and technology, where the connectivity changes in time, i.e., the strength of the coupling is continuously adjusted depending upon the dynamic state of the system, for instance synaptic neuronal plasticity in the brain. This research contributes to a fundamental understanding of various synchronization patterns, including hierarchical multifrequency clusters, chimeras and other partial synchronization states. After a concise survey of the fundamentals of adaptive and complex dynamical networks and synaptic plasticity, in the first part of the thesis the existence and stability of cluster synchronization in globally coupled adaptive networks is discussed for simple | 出版日期 | Book 2021 | 关键词 | Adaptive Networks; Synaptic Plasticity; Neuronal Networks; Phase Oscillator; Synchronization on Complex | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-74938-5 | isbn_softcover | 978-3-030-74940-8 | isbn_ebook | 978-3-030-74938-5Series ISSN 2190-5053 Series E-ISSN 2190-5061 | issn_series | 2190-5053 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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