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Dynamics of Complex Autonomous Boolean Networks
David P. Rosin
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Description for Dynamics of Complex Autonomous Boolean Networks
Hardback. Series: Springer Theses. Num Pages: 219 pages, 79 black & white illustrations, 9 colour illustrations, biography. BIC Classification: GPFC; PBW; PBWR; TJFC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 497.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
219
Condition
New
Series
Springer Theses
Number of Pages
199
Place of Publication
Cham, Switzerland
ISBN
9783319135779
SKU
V9783319135779
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About David P. Rosin
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 ... Read more
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