Víctor Martínez-Cagigal

Orcid: 0000-0002-3822-1787

Affiliations:
  • University of Valladolid, Spain


According to our database1, Víctor Martínez-Cagigal authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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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

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

Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy.
Entropy, 2019

2018
Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study.
Proceedings of the Articulated Motion and Deformable Objects, 2018

2017
A Binary Bees Algorithm for P300-Based Brain-Computer Interfaces Channel Selection.
Proceedings of the Advances in Computational Intelligence, 2017


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