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Autor(en): 
  • David P. Rosin
  • Dynamics of Complex Autonomous Boolean Networks 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2016  
    Genre:  Schulbücher 
     
    Applications of Graph Theory and Complex Networks / Applied Dynamical Systems / Applied mathematics / B / Complex analysis, complex variables / Complex systems / complexity / Computational complexity / Cybernetics & systems theory / Dynamical systems / Dynamical Systems and Ergodic Theory / Dynamics / Electronic circuits / Electronic Circuits and Devices / Electronic Circuits and Systems / Electronic devices & materials / Electronics# circuits & components / Ergodic theory / Graph Theory / Nonlinear science / Physics / Physics and Astronomy / System Theory
    ISBN:  9783319367064 
    EAN-Code: 
    9783319367064 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Springer Theses  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  3401 gr 
    Seiten:  199 
    Illustration:  XX, 199 p. 88 illus., 9 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.
      
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