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Titlebook: Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences; Proceedings of the X Giorgio Mantica,Ruedi Stoop,Seba

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楼主: 一再
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Mean-Field Transport of a Bose-Einstein Condensateroach. The effect of the interactions is to enhance or suppress the transport depending on the sign and strength of the interactions. These effects are discusses in detail in view of recent experiments probing non-equilibrium transport of ultracold quantum gases.
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Continuous and Differentiable Approximation of a TaO Memristor Model for Robust Numerical Simulationns respectively adopted in state equation and Ohm’s based law of the mathematical model of an extended memristor recently fabricated at Hewlett Packard labs. The study of this model is particularly timely because the material at the basis of the relative memristor device, i.e. Tantalum oxide, has be
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Ultrawideband Microwave 3–7 GHz Chaotic Oscillator Implemented as SiGe Integrated Circuitmponent library is developed, and IC layout is designed. An experimental sample of microwave chaotic source with bipolar transistor as the active element is fabricated with 0.25-.m SiGe process. The system demonstrates generation of ultrawideband chaotic oscillations of 3–7 GHz frequency range. Resu
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Complex Structures and Behavior from Elementary Adaptive Network Automatation depends on the actual network structure. This is a setting of fundamental relevance for neuronal culture development, for which often power law characteristics and indications of a critical state are found. Investigating an extremely simple instance of this computational paradigm of adaptive ne
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Temporal Excitation Patterns on the Cerebral Cortex as a Result of Migraine Modeling activity. Recent computational advances [.] allow to simulate the propagation of depolarization waves on the macroscale and for individual geometries, reconstructed from accurate medical imaging as MRI, with high levels of detail. In this paper we take advantage of such technique to study the tempo
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Persistent Memories in Transient Networksepresentations can last for a long time, the underlying neuronal network is transient: neuronal cells die every day, synaptic connections appear and disappear, the networks constantly change their architecture due to various forms of synaptic and structural plasticity. How can a network with a dynam
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