LEADER 04635nam 22007935 450 001 9910300431003321 005 20200705094238.0 010 $a3-319-13578-3 024 7 $a10.1007/978-3-319-13578-6 035 $a(CKB)3710000000325024 035 $a(EBL)1968593 035 $a(OCoLC)908090122 035 $a(SSID)ssj0001408233 035 $a(PQKBManifestationID)11818666 035 $a(PQKBTitleCode)TC0001408233 035 $a(PQKBWorkID)11346380 035 $a(PQKB)10229379 035 $a(DE-He213)978-3-319-13578-6 035 $a(MiAaPQ)EBC1968593 035 $a(PPN)183154142 035 $a(EXLCZ)993710000000325024 100 $a20141231d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDynamics of Complex Autonomous Boolean Networks /$fby David P. Rosin 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (208 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $aDescription based upon print version of record. 311 $a3-319-13577-5 320 $aIncludes bibliographical references. 327 $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. 330 $aThis thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays. The author presents pioneering results on theoretical modeling, experimental realization, and selected applications.  In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents the first experimental platform for large complex networks, which will facilitate exciting future developments. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aPhysics 606 $aDynamics 606 $aErgodic theory 606 $aElectronic circuits 606 $aComputational complexity 606 $aSystem theory 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aDynamical Systems and Ergodic Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M1204X 606 $aElectronic Circuits and Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/P31010 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 615 0$aPhysics. 615 0$aDynamics. 615 0$aErgodic theory. 615 0$aElectronic circuits. 615 0$aComputational complexity. 615 0$aSystem theory. 615 14$aApplications of Graph Theory and Complex Networks. 615 24$aDynamical Systems and Ergodic Theory. 615 24$aElectronic Circuits and Devices. 615 24$aComplexity. 615 24$aComplex Systems. 676 $a511.3 700 $aRosin$b David P$4aut$4http://id.loc.gov/vocabulary/relators/aut$0792269 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300431003321 996 $aDynamics of Complex Autonomous Boolean Networks$91771539 997 $aUNINA