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Capacity and retrieval of a modular set of diluted attractor networks with respect to the global number of neurons
ArticleAbstract: The modularity and hierarchical structures in associative networks can replicate parallel pattern rePalabras claves:Diluted connectivity, Divide-and-conquer approach, Ensembled learning, Hopfield network, Network size, Storage capacityAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusHow to reduce classification error in ERP-based BCI: Maximum relative areas as a feature for p300 detection
Conference ObjectAbstract: Currently, one of the challenges in a Brain Computer Interface (BCI) technologies is the improvementPalabras claves:Brain computer interface, Event-related potentials, Lda, online, P300Autores:Rodríguez F.B., Varona P., Vinicio ChangoluisaFuentes:googlescopusIncrease attractor capacity using an ensembled neural network
ArticleAbstract: This work presents an ensemble of Attractor Neural Networks (ANN) modules, that increases the patterPalabras claves:Divide-and-conquer parallelizing, Ensemble of Attractor Neural Networks, Hopfield-type network, Network wiring cost, Storage capacity, Synaptic dilutionAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopus