Dynamics of Complex Autonomous Boolean Networks
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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.
Nominated as an outstanding Ph.D. thesis by the Technical University of Berlin, Germany
Reports on important progress in the study of complex networks
Introduces applications in physical random number generation and neuro-inspired computing
Includes hardware code to experimentally realize large complex networks with asynchronous logic designs