000			02645cam a22003255i 4500
999			_c200430927 _d49134
001			200430927
003			TR-AnTOB
005			20190408222020.0
007			ta
008			141231s2015 nyu| |||| 0|eng d
020			_a9783319135779
040			_aTR-AnTOB _beng _erda _cTR-AnTOB _dTR-AnTOB
041	0		_aeng
050	0	0	_aQA267.7
090			_aQA267.7 _b.R67 2015
100	1		_aRosin, David P. _eauthor _9120797
245	1	0	_aDynamics of Complex Autonomous Boolean Networks / _cDavid P. Rosin.
264		1	_aCham : _bSpringer International Publishing : _bSpringer, _c2015.
264		4	_a©2015
300			_axx, 199 pages; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
505	0		_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.
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.
650		0	_aComputational complexity _91359
942			_2lcc _cBK