Titlebook: Innovations in Bayesian Networks; Theory and Applicati Dawn E. Holmes,Lakhmi C. Jain (Professor of Knowle Book 2008 Springer-Verlag Berlin

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David Heckermanystems ranging from physics and acoustics to neuroscience and engineering. We encounter synchronization everywhere and it can be either a helpful or a detrimental mechanism. In the first part, after a survey of complex nonlinear systems and networks, we show that a seemingly simple system of two org

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Sylvia Nagl,Matt Williams,Jon Williamsonystems ranging from physics and acoustics to neuroscience and engineering. We encounter synchronization everywhere and it can be either a helpful or a detrimental mechanism. In the first part, after a survey of complex nonlinear systems and networks, we show that a seemingly simple system of two org

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Xia Jiang,Michael M. Wagner,Gregory F. Cooperrential equations (DDEs) usually have parameters in their formulation. How the nature of the solutions change as the parameters vary is crucial to understanding the underlying physical processes. When the DDE is reduced, at an equilibrium point, to leading linear terms and the remaining nonlinear te

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David Heckermanide an analysis of initial conditions and extend our model by the addition of time delay and fractalconnectivities. In the second part, we investigate partial synchronization patterns in a neuronal network and explain dynamical asymmetry arising from the hemispheric structure of the human brain. A p

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