Víctor Martínez-Cagigal
Orcid: 0000-0002-3822-1787Affiliations:
- University of Valladolid, Spain
According to our database1,
Víctor Martínez-Cagigal
authored at least 19 papers
between 2017 and 2024.
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Bibliography
2024
Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values.
Comput. Methods Programs Biomed., 2024
2023
Non-binary m-sequences for more comfortable brain-computer interfaces based on c-VEPs.
Expert Syst. Appl., December, 2023
ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces.
Comput. Biol. Medicine, June, 2023
MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research.
Comput. Methods Programs Biomed., March, 2023
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.
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Assessing the Potential of Brain-Computer Interface Multiplayer Video Games using c-VEPs: A Pilot Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Nonparametric Early Stopping Detection for c-VEP-based Brain-Computer Interfaces: A Pilot Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning.
Comput. Methods Programs Biomed., 2022
Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms.
Appl. Soft Comput., 2022
2021
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population.
Entropy, 2021
Decoding of continuous movement attempt in 2-dimensions from non-invasive low frequency brain signals.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Correction: Martínez-Cagigal, V.; Santamaría-Vázquez, E.; Hornero, R. Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230.
Entropy, 2020
Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking task.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Towards an accessible use of smartphone-based social networks through brain-computer interfaces.
Expert Syst. Appl., 2019
Entropy, 2019
2018
Proceedings of the Articulated Motion and Deformable Objects, 2018
2017
Proceedings of the Advances in Computational Intelligence, 2017