Dynamics of complex autonomous Boolean networks /

Dynamics of complex autonomous Boolean networks /

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Bibliographic Details
Author / Creator:	Rosin, David P., author.
Imprint:	Cham, Switzerland : Springer, [2015] ©2015
Description:	1 online resource.
Language:	English
Series:	Springer theses Springer theses.
Subject:	Computational complexity. Algebra, Boolean. Algebra, Boolean. Computational complexity.
Format:	E-Resource Dissertations Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11090795

Hidden Bibliographic Details
ISBN:	9783319135786 3319135783 3319135775 9783319135779 9783319135779
Notes:	"Doctoral thesis accepted by Technische Universität Berlin, Germany." Includes bibliographical references. Vendor-supplied metadata.
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.
Other form:	Printed edition: 9783319135779
Standard no.:	10.1007/978-3-319-13578-6

Description
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.<br> 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.
Item Description:	"Doctoral thesis accepted by Technische Universität Berlin, Germany."
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references.
ISBN:	9783319135786 3319135783 3319135775 9783319135779