Universidad de Valladolid-ko ikertzaileekin lankidetzan egindako argitalpenak (30)

2024

  1. Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

    Computer Methods and Programs in Biomedicine, Vol. 246

2023

  1. Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPs

    Frontiers in Human Neuroscience, Vol. 17

  3. Embodied strategies for public speaking anxiety: evaluation of the Corp-Oral program

    Frontiers in Human Neuroscience, Vol. 17

  4. ITACA: An open-source framework for Neurofeedback based on Brain–Computer Interfaces

    Computers in Biology and Medicine, Vol. 160

  5. Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience

    Frontiers in Human Neuroscience, Vol. 17

  6. MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research

    Computer methods and programs in biomedicine, Vol. 230, pp. 107357

  7. Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs

    Expert Systems with Applications, Vol. 232

  8. Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. A Portable P300-Based Brain–Computer Interface as an Alternative Communication Device

    Biosystems and Biorobotics (Springer Science and Business Media Deutschland GmbH), pp. 383-387

  2. Brain–computer interface channel selection optimization using meta-heuristics and evolutionary algorithms

    Applied Soft Computing, Vol. 115

  3. EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning

    IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 1766-1775

  4. Preventing Cognitive Decline in Elderly Population Through Neurofeedback Training: A Pilot Study

    Biosystems and Biorobotics (Springer Science and Business Media Deutschland GmbH), pp. 407-411

  5. Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning

    Computer Methods and Programs in Biomedicine, Vol. 215

2021

  1. A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea

    IEEE Journal of Biomedical and Health Informatics, Vol. 25, Núm. 8, pp. 2906-2916

  2. A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer's disease continuum

    Journal of Neural Engineering, Vol. 18, Núm. 2

  3. Brain-computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review

    Journal of Neural Engineering, Vol. 18, Núm. 6

  4. Neurofeedback training based on motor imagery strategies increases EEG complexity in elderly population

    Entropy, Vol. 23, Núm. 12

2020

  1. BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces

    Frontiers in Neuroscience, Vol. 14

  2. Correction: Asynchronous Control of P300-based brain-computer interfaces using sample entropy. [Entropy 2019, 21, 230]doi 10.3390/e21030230

    Entropy