Titlebook: Nonlinear Dynamics in Computational Neuroscience; Fernando Corinto,Alessandro Torcini Book 2019 Springer International Publishing AG, part

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Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Timegnostics. In particular, we reported some cases in which nonlinear time series analysis reveals effects that are not detected by linear methods. For the epileptic mice, the spectral analysis has shown that epileptic activity determines a power redistribution among the different neurophysiological ba

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Memristor and Memristor Circuit Modelling Based on Methods of Nonlinear System Theory,ts exploiting the rich dynamical behavior of memristors is still restricted to certain cases. For some memristors, even circuits with a few number of elements may exhibit different nonlinear phenomena, which can be only described by results obtained in numerical simulations. In this manuscript a non

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2509-6796 erties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015..978-3-030-10009-4978-3-319-71048-8Series ISSN 2509-6796 Series E-ISSN 2509-7024

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Fernando Corinto,Alessandro TorciniOffers an essential reference guide for neuroscientists using computational methods in their daily work, as well as any theoretical scientists just getting started in the field of computational neuros

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978-3-030-10009-4Springer International Publishing AG, part of Springer Nature 2019

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