Authors:
- Nominated as an outstanding Ph.D. thesis by the Technical University of Berlin, Germany
- Reports on important progress in the study of complex networks
- Introduces applications in physical random number generation and neuro-inspired computing
- Includes hardware code to experimentally realize large complex networks with asynchronous logic designs
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
The author presents pioneering results on theoretical modeling, experimental realization, and selected applications. In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents the first experimental platform for large complex networks, which will facilitate exciting future developments.
Authors and Affiliations
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Institut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany
David P. Rosin
About the author
Bibliographic Information
Book Title: Dynamics of Complex Autonomous Boolean Networks
Authors: David P. Rosin
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-13578-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13577-9Published: 15 January 2015
Softcover ISBN: 978-3-319-36706-4Published: 24 September 2016
eBook ISBN: 978-3-319-13578-6Published: 31 December 2014
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XX, 199
Number of Illustrations: 79 b/w illustrations, 9 illustrations in colour
Topics: Applications of Graph Theory and Complex Networks, Dynamical Systems and Ergodic Theory, Electronic Circuits and Devices, Complexity, Complex Systems