大葉大學圖書館 |

Dynamics of complex autonomous Boolean networks[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.324
書名/作者:	Dynamics of complex autonomous Boolean networks/ by David P. Rosin.
作者:	Rosin, David P.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xx, 199 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computational complexity.
標題:	Algebra, Boolean.
標題:	Physics.
標題:	Complex Networks.
標題:	Dynamical Systems and Ergodic Theory.
標題:	Electronic Circuits and Devices.
標題:	Complexity.
標題:	Complex Systems.
ISBN:	9783319135786 (electronic bk.)
ISBN:	9783319135779 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-13578-6

Dynamics of complex autonomous Boolean networks[electronic resource] /
Rosin, David P.

Dynamics of complex autonomous Boolean networks[electronic resource] /by David P. Rosin. - Cham :Springer International Publishing :2015. - xx, 199 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

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.

ISBN: 9783319135786 (electronic bk.)

Standard No.: 10.1007/978-3-319-13578-6doiSubjects--Topical Terms:

393856
Computational complexity.

LC Class. No.: QA267.7

Dewey Class. No.: 511.324

Dynamics of complex autonomous Boolean networks[electronic resource] /
LDR:02726nam a2200337 a 4500 001 426124
003 DE-He213
005 20150813100653.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319135786 (electronic bk.)
020 $a 9783319135779 (paper)
024 7 $a 10.1007/978-3-319-13578-6 $2 doi
035 $a 978-3-319-13578-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA267.7
072 7 $a PHU $2 bicssc
072 7 $a PBKD $2 bicssc
072 7 $a SCI064000 $2 bisacsh
082 0 4 $a 511.324 $2 23
090 $a QA267.7 $b .R821 2015
100 1 $a Rosin, David P. $3 605796
245 1 0 $a Dynamics of complex autonomous Boolean networks $h [electronic resource] / $c by David P. Rosin.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xx, 199 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $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 Computational complexity. $3 393856
650 0 $a Algebra, Boolean. $3 466351
650 1 4 $a Physics. $3 171863
650 2 4 $a Complex Networks. $3 465367
650 2 4 $a Dynamical Systems and Ergodic Theory. $3 464934
650 2 4 $a Electronic Circuits and Devices. $3 463910
650 2 4 $a Complexity. $3 464233
650 2 4 $a Complex Systems. $3 465366
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 463746
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-13578-6
950 $a Physics and Astronomy (Springer-11651)