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Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators (Springer Theses) by Rico Berner (auth.) is a nonfiction available to read on EtoBox.

What is Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators (Springer Theses) about?

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

Who reads Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators (Springer Theses)?

Author

Rico Berner (auth.)

Publisher

Springer International Publishing AG

Published

2021

Language

EN

ISBN

9783030749385

Category

nonfiction

Subjects

Science, Mathematics, Physics