Titlebook: Computational Intelligence and Bioinspired Systems; 8th International Wo Joan Cabestany,Alberto Prieto,Francisco Sandoval Conference procee

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https://doi.org/10.1007/978-3-658-15232-1is shown in feed-forward multilayer artificial neural networks, specifically created to solve a simple problem. We also illustrate the benefits obtained with these new nets from a comparison with previous results achieved by the optimal Artificial Neural Networks used so far for solving the same problem.

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https://doi.org/10.1007/978-3-658-15232-1g to the emergence of synchronous regimes in a network of FS interneurons coupled by chemical and electrical synapses. We also compare our results with those recently obtained for a pair of coupled Integrate & Fire neural models [1].

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Conference proceedings 2005 Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) co

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,Geschichten und Erz?hlungen in Unternehmen,s for a simpler processing of multidimensional signals such as multi or hyperspectral cubes as used in remote sensing or colour signals in images, which is the example we present as a test for the algorithm.

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,Die Durchführung der Storytelling-Methode, .-cardinality tree embedded in the bigger tree constructed by the ants. We show that our hybrid algorithm improves over the standard ant colony optimization algorithm and, for node-weighted grid graph instances, is a current state-of-the-art method.

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https://doi.org/10.1007/978-3-658-15232-1icity. The model is also employed to quantify information transfer at the mossy fiber – granule cell synaptic relay. This work was funded in part by the EU SpikeForce project (IST-2001-35271 www.spikeforce.org).

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Combining Ant Colony Optimization with Dynamic Programming for Solving the ,-Cardinality Tree Proble .-cardinality tree embedded in the bigger tree constructed by the ants. We show that our hybrid algorithm improves over the standard ant colony optimization algorithm and, for node-weighted grid graph instances, is a current state-of-the-art method.

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Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cericity. The model is also employed to quantify information transfer at the mossy fiber – granule cell synaptic relay. This work was funded in part by the EU SpikeForce project (IST-2001-35271 www.spikeforce.org).

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