Dynamics of Complex Autonomous Boolean Networks

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 ga...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Rosin, David P. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Rosin, David P.  |e author. 
245 1 0 |a Dynamics of Complex Autonomous Boolean Networks  |h [electronic resource] /  |c by David P. Rosin. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XX, 199 p. 88 illus., 9 illus. in color.  |b online resource. 
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490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
505 0 |a 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. 
520 |a 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. 
650 0 |a Physics. 
650 0 |a Dynamics. 
650 0 |a Ergodic theory. 
650 0 |a System theory. 
650 0 |a Electronic circuits. 
650 0 |a Complexity, Computational. 
650 1 4 |a Physics. 
650 2 4 |a Complex Networks. 
650 2 4 |a Dynamical Systems and Ergodic Theory. 
650 2 4 |a Electronic Circuits and Devices. 
650 2 4 |a Complexity. 
650 2 4 |a Complex Systems. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319135779 
830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-13578-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)