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Diego Marcos-Martínez

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Computer Methods and Programs in Biomedicine|January 14, 2022
Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learningEduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Sergio Pérez-Velasco, et al.
Entropy (Basel, Switzerland)|December 24, 2021
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly PopulationDiego Marcos-Martínez, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine|February 3, 2024
Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley valuesSergio Pérez-Velasco, Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, et al.
Frontiers in Human Neuroscience|August 21, 2023
Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPsSelene Moreno-Calderón, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine|January 24, 2023
MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience researchEduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Diego Marcos-Martínez, et al.
Neuroimage|February 21, 2026
A mega-analysis of EEG-based frontal-midline theta neurofeedback reveals learning dynamics, individual variability, and response profilesStefanie Enriquez-Geppert, Diede Smit, Kathrin C J Eschmann, et al.
Computers in Biology and Medicine|May 18, 2023
ITACA: An open-source framework for Neurofeedback based on Brain-Computer InterfacesDiego Marcos-Martínez, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|January 14, 2022
Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learningEduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Sergio Pérez-Velasco, et al.
Entropy (Basel, Switzerland)|December 24, 2021
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly PopulationDiego Marcos-Martínez, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine|February 3, 2024
Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley valuesSergio Pérez-Velasco, Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, et al.
Frontiers in Human Neuroscience|August 21, 2023
Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPsSelene Moreno-Calderón, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine|January 24, 2023
MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience researchEduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Diego Marcos-Martínez, et al.
Neuroimage|February 21, 2026
A mega-analysis of EEG-based frontal-midline theta neurofeedback reveals learning dynamics, individual variability, and response profilesStefanie Enriquez-Geppert, Diede Smit, Kathrin C J Eschmann, et al.
Computers in Biology and Medicine|May 18, 2023
ITACA: An open-source framework for Neurofeedback based on Brain-Computer InterfacesDiego Marcos-Martínez, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, et al.
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