Titlebook: Artificial Neural Networks - ICANN 2010; 20th International C Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Il Conference proceedings 201

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D. Chen,R. Skogman,E. Bernal,C. Butterd in afferent spike trains. The temporal information is originally generated by a deterministic nonlinear dynamical system whose parameters determine a chaotic attractor. We present the simulations obtained with a network formed by simple spiking neurons (SSN) and a network formed by a multiple-time

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Konstantinos Diamantaras,Wlodek Duch,Lazaros S. IlFast track conference proceeding.Unique visibility.State of the art research

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Lipohypertrophy

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Fiber Deficiency and Colonic Disordersn criterion of Maximum Marginal Likelihood enabled design and training of numerically efficient small neural networks. They were applied for identification of two compaction characteristics, i.e. Optimum Water Content and Maximum Dry Density of granular soils.

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Monolithic

A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subns (except for pitch), for the typical motion amplitudes encountered in FMRI studies. Results with an actual time series suggest that the proposed method is suited to the problem of prospective (in frame) FMRI registration, although brain activation must be simulated, and learned, by the NN.