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Title
Dynamics of complex autonomous Boolean networks [electronic resource] / David P. Rosin.
ISBN
9783319135786 electronic book
3319135783 electronic book
9783319135779
Published
Cham, Switzerland : Springer, [2015]
Language
English
Description
1 online resource.
Other Standard Identifiers
10.1007/978-3-319-13578-6 doi
Call Number
QA267.7
Dewey Decimal Classification
511.3/24
Summary
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.
Note
"Doctoral thesis accepted by Technische Universität Berlin, Germany."
Dissertation Note
Ph.D Technische Universität Berlin, Germany, 2014.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Series
Springer theses.
Available in Other Form
Print version: 9783319135779
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.
