Titlebook: Computational Methods in Neural Modeling; 7th International Wo José Mira,José R. Álvarez Conference proceedings 2003 Springer-Verlag Berlin

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1.4.2.5 Canyons, abyssal cones, and fans,s paper is to contribute to the description of the possible causes of this blockage: lack of a new mathematics for plasticity, fault tolerance, cooperative processes, and abstraction mechanisms to link the physical level to the cognitive processes. Also is clear that we have much more data than cont

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1.4.2.5 Canyons, abyssal cones, and fans,stochastic neural networks in which the neurons display subthreshold oscillations and spiking activity. The network is built with diffusive coupling among close neighbors. We show that these stochastic networks are able to generate a wide variety of coherent spatio-temporal patterns. Emerging phenom

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1.4.2.5 Canyons, abyssal cones, and fans,tion (DHN), as well as positively inuencing the learning process in the artificial and biological neural networks. It also considers whether the DHN, together with the correlational character that helps Hebb’s law, is the best schema to represent the resulting learning process. We conducted the enti

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