Dynamics of Complex Autonomous Boolean Networks

David P. Rosin (Autor)

Buch | Softcover

XX, 199 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-36706-4 (ISBN)

Artikel merken

This thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays.
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.

David Rosin studied physics at Technische Universität Berlin, Germany, and received his Bachelor Degree in 2009 and his Master Degree in 2011. He researched complex dynamical networks in the framework of a collaboration between Daniel J. Gauthier from Duke University (USA) and Eckehard Schöll from Technische Universität Berlin (Germany) from 2010 till 2014. This work was submitted as a Doctoral Thesis in physics at Technische Universität Berlin in 2014.

Introduction.- Previous Work on Boolean Networks.- Autonomous Boolean Networks on Electronic Chips.- Chaotic Dynamics of Autonomous Boolean Networks.- Ultra-Fast Physical Generation of Random Numbers Using Hybrid Boolean Networks.- Periodic Dynamics in Autonomous Boolean Networks.- Chimera Dynamics in Networks of Boolean Phase Oscillators.- Excitable Dynamics in Autonomous Boolean Networks.- Cluster Synchronization in Boolean Neural Networks.- Summary and Outlook.

Erscheinungsdatum	05.03.2022
Reihe/Serie	Springer Theses
Zusatzinfo	XX, 199 p. 88 illus., 9 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	340 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Graphentheorie
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
Schlagworte	Applications of Graph Theory and Complex Networks • Applied mathematics • Autonomous Boolean Networks • Chimera States • Cluster Synchronization • Complex analysis, complex variables • Complex Boolean Networks • Complexity • Complex Systems • Cybernetics and systems theory • Dynamical Systems and Ergodic Theory • Electronic Circuits and Devices • Electronic devices and materials • Electronics: circuits and components • field programmable gate array • FPGA Book • High-speed Random Number Generator • Mathematical Physics • Neural Spiking Satterns • Neuro-inspired Computing • Nonlinear Science • Physics • Physics and Astronomy
ISBN-10	3-319-36706-4 / 3319367064
ISBN-13	978-3-319-36706-4 / 9783319367064
Zustand	Neuware