Titlebook: International Conference on Theory and Application in Nonlinear Dynamics(ICAND 2012); Visarath In,Antonio Palacios,Patrick Longhini Book 2

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Synthetic Computation: Chaos Computing, Logical Stochastic Resonance, and Adaptive Computingis paper we focus on synthetic computing, a field that engineers and synthesizes nonlinear systems to obtain computation. We explain the importance of nonlinearity, and describe how nonlinear systems can be engineered to perform computation. More specifically, we provide an overview of chaos computi

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Delay Differential Equation Models of Normal and Diseased Electrocardiogramsf the underlying dynamical system. Here global DDE models are used to analyze electrocardiography recordings (ECGs) in order to capture distinguishing features for different heart conditions such as normal heart beat, congestive heart failure, and atrial fibrillation. To capture distinguishing featu

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A Bistable Microelectronic Circuit for Sensing Extremely Low Electric Fieldmit self-sustained oscillations when the coupling parameter is swept through the critical points of bifurcations. Complex behaviors emerge, in addition, from these relatively simple coupled systems when an external signal ac or dc is applied uniformly to all the elements in the array. In particular,

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Asynchronous Cellular Automaton Based Modeling of Nonlinear Dynamics of Neurontomaton neuron model can realize not only typical nonlinear response characteristics of neurons but also their underlying occurrence mechanisms (i.e., bifurcation scenarios). The model can be implemented as an asynchronous sequential logic circuit, whose control parameter is the pattern of wires tha

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Nonlinear Behaviour of Vital Physiological Systemse linear behaviour seems to be rather an exception which is applicable only for small changes in physiological processes. Vital physiological systems such as heartbeat, respiration, blood circulation, oxygenation, and body temperature exhibit strong nonlinearities in order to fulfil their respective

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Enhancing Signal Resolution in a Noisy Nonlinear Sensorsing the observation time . of the measurement; typically, the resolution scales as .. Typically ., or . if low frequency noise is present. We show that a neuronal system can display an enhanced scaling in the resolution, with the parameter .; this occurs when the “inter spike intervals” are negativ

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Distributed Bandpass Filtering and Signal Demodulation in Cortical Network Modelsny neuronal mechanisms are known to give rise to oscillations, but here we focus on a population effect known as sparsely synchronised oscillations. In this effect, individual neurons in a cortical network fire irregularly at slow average spike rates (1–10 Hz), but the population spike rate oscillat