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000725034 019__ $$a907303575$$a907559638$$a908090122$$a913197016
000725034 020__ $$a9783319135786$$qelectronic book
000725034 020__ $$a3319135783$$qelectronic book
000725034 020__ $$z9783319135779
000725034 0247_ $$a10.1007/978-3-319-13578-6$$2doi
000725034 035__ $$aSP(OCoLC)ocn899211449
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000725034 049__ $$aISEA
000725034 050_4 $$aQA267.7
000725034 08204 $$a511.3/24$$223
000725034 1001_ $$aRosin, David P.,$$eauthor.
000725034 24510 $$aDynamics of complex autonomous Boolean networks$$h[electronic resource] /$$cDavid P. Rosin.
000725034 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2015]
000725034 300__ $$a1 online resource.
000725034 336__ $$atext$$btxt$$2rdacontent
000725034 337__ $$acomputer$$bc$$2rdamedia
000725034 338__ $$aonline resource$$bcr$$2rdacarrier
000725034 4901_ $$aSpringer theses
000725034 500__ $$a"Doctoral thesis accepted by Technische Universität Berlin, Germany."
000725034 502__ $$bPh.D$$cTechnische Universität Berlin, Germany,$$d2014.
000725034 504__ $$aIncludes bibliographical references.
000725034 5050_ $$aIntroduction -- Previous Work on Boolean Networks -- Autonomous Boolean Networks on Electronic Chips -- Chaotic Dynamics of Autonomous Boolean Networks -- Ultra-Fast Physical Generation of Random Numbers Using Hybrid Boolean Networks -- Periodic Dynamics in Autonomous Boolean Networks -- Chimera Dynamics in Networks of Boolean Phase Oscillators -- Excitable Dynamics in Autonomous Boolean Networks -- Cluster Synchronization in Boolean Neural Networks -- Summary and Outlook.
000725034 506__ $$aAccess limited to authorized users.
000725034 520__ $$aThis thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays. The author presents pioneering results on theoretical modeling, experimental realization, and selected applications. In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents the first experimental platform for large complex networks, which will facilitate exciting future developments.
000725034 650_0 $$aComputational complexity.
000725034 650_0 $$aAlgebra, Boolean.
000725034 77608 $$iPrint version:$$z9783319135779
000725034 830_0 $$aSpringer theses.
000725034 852__ $$bebk
000725034 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13578-6$$zOnline Access$$91397441.1
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000725034 982__ $$aEbook
000725034 983__ $$aOnline
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