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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
Physica A: Statistical Mechanics and its Applications(2)
2018 6th International Conference on Brain-Computer Interface, BCI 2018(1)
Expert Systems with Applications(1)
IEEE Access(1)
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Ciencias de la computación(6)
Fisiología humana(3)
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An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability
Conference ObjectAbstract: Brain Computer Interface (BCI) technologies use neural activity to implement a direct communicationPalabras claves:Bayesian Linear Discriminant Analysis (BLDA), Brain Computer Interface (BCI), Event-related potentia (ERP), Inter-subject variability, Intra-subject variability, P300 component, Personalized Brain-Machine InterfacesAutores:Rodríguez F.B., Varona P., Vinicio ChangoluisaFuentes:googlescopusA Low-Cost Computational Method for Characterizing Event-Related Potentials for BCI Applications and beyond
ArticleAbstract: Event-related potentials (ERPs) are important neurophysiological markers widely used in scientific,Palabras claves:brain-machine interface, continuous ERP characterization, Event-related potentials, Inter- and intrasubject variability, negative ERP, online electrode selection, P300, Personalized brain-computer interface, positive ERPAutores:Rodríguez F.B., Varona P., Vinicio ChangoluisaFuentes:googlescopusFingerprint Retrieval Using a Specialized Ensemble of Attractor Networks
Conference ObjectAbstract: We tested the performance of the Ensemble of Attractor Neural Networks (EANN) model for fingerprintPalabras claves:Hopfield network, Module specialization, Pattern sparseness, Storage capacity, Synaptic dilutionAutores:Carlos Dávila, Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusEnsemble of Attractor Networks for 2D Gesture Retrieval
Conference ObjectAbstract: This work presents an Ensemble of Attractor Neural Networks (EANN) model for gesture retrieval. 2D sPalabras claves:Gesture encoding, Hopfield network, Offline recognition, Single-stroke gestures, Storage capacity, Synaptic dilutionAutores:Carlos Dávila, Dominguez D., Jorge Luis Pérez Medina, Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:scopusHow 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:googlescopusModeling sustainability reporting with ternary attractor neural networks
Conference ObjectAbstract: This work models the Corporate Sustainability General Reporting Initiative (GRI) using a ternary attPalabras claves:Bi-linear and Bi-quadratic retrieval, Sustainability, Ternary codingAutores:Dominguez D., Guerrero C., Mario González-Rodríguez, Odette Pantoja-Díaz, Rodríguez F.B.Fuentes:googlescopusPrecise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory
Conference ObjectAbstract: Event-Related Potentials (ERP) detection is a latent problem in the clinical, neuroscience, and engiPalabras claves:Bayesian LDA, Detection of P300 at sample level, Event-related potential, Inter- and intra-subject variability, Oddball paradigm, P300 latency variability, Recurrent neural networksAutores:Lago-Fernández L.F., Oliva C., Rodríguez F.B., Vinicio ChangoluisaFuentes:googlescopusStructured information in small-world neural networks
ArticleAbstract: The retrieval abilities of spatially uniform attractor networks can be measured by the global overlaPalabras claves:Autores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Serrano E.Fuentes:googlescopusStructured information in sparse-code metric neural networks
ArticleAbstract: Sparse-code networks have retrieval abilities which are strongly dependent on the firing threshold fPalabras claves:Associative memory, network topology, Small world, Structured information, Threshold dynamicsAutores:Dominguez D., Erichsen R., Mario González-Rodríguez, Rodríguez F.B., Serrano E., Theumann W.K.Fuentes:googlescopus