Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (AMDO, 2018)

Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm. - Víctor Rodríguez-González; Jesús Poza; Pablo Núñez; Carlos Gómez; María García; Yoshihito Shigihara; Hideyuki Hoshi; Eduardo Santamaría-Vázquez; Roberto Hornero (EMBC, 2019)

Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (Entropy, 2019)

Towards an accessible use of smartphone-based social networks through brain-computer interfaces. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Javier Gomez-Pilar; Roberto Hornero (Expert Syst. Appl., 2019)

Correction: Martínez-Cagigal, V.; Santamaría-Vázquez, E.; Hornero, R. Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (Entropy, 2020)

Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population. - Diego Marcos-Martínez; Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Sergio Pérez-Velasco; Roberto Hornero (Entropy, 2021)

A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea. - Fernando Vaquerizo-Villar; Daniel Álvarez; Leila Kheirandish-Gozal; Gonzalo C. Gutiérrez-Tobal; Verónica Barroso-García; Eduardo Santamaría-Vázquez; Félix del Campo; David Gozal; Roberto Hornero (IEEE J. Biomed. Health Informatics, 2021)

Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (Appl. Soft Comput., 2022)

Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning. - Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Sergio Pérez-Velasco; Diego Marcos-Martínez; Roberto Hornero (Comput. Methods Programs Biomed., 2022)

GIB-UVa ERP-BCI dataset. - Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Roberto Hornero (IEEE DataPort, 2022)

Nonparametric Early Stopping Detection for c-VEP-based Brain-Computer Interfaces: A Pilot Study. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Sergio Pérez-Velasco; Diego Marcos-Martínez; Selene Moreno-Calderón; Roberto Hornero (EMBC, 2023)

Assessing the Potential of Brain-Computer Interface Multiplayer Video Games using c-VEPs: A Pilot Study. - Selene Moreno-Calderón; Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Sergio Pérez-Velasco; Diego Marcos-Martínez; Roberto Hornero (EMBC, 2023)

Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (IWANN (2), 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. - Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Roberto Hornero (IWANN (2), 2023)

MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research. - Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Diego Marcos-Martínez; Víctor Rodríguez-González; Sergio Pérez-Velasco; Selene Moreno-Calderón; Roberto Hornero (Comput. Methods Programs Biomed., 2023)

ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces. - Diego Marcos-Martínez; Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Sergio Pérez-Velasco; Víctor Rodríguez-González; Ana Martín-Fernández; Selene Moreno-Calderón; Roberto Hornero (Comput. Biol. Medicine, 2023)

Non-binary m-sequences for more comfortable brain-computer interfaces based on c-VEPs. - Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Sergio Pérez-Velasco; Diego Marcos-Martínez; Selene Moreno-Calderón; Roberto Hornero (Expert Syst. Appl., 2023)

Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values. - Sergio Pérez-Velasco; Diego Marcos-Martínez; Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Selene Moreno-Calderón; Roberto Hornero (Comput. Methods Programs Biomed., 2024)

Development and Validation of an Affordable Wearable Multichannel EEG System With Active Electrodes and Innovative Flexible Headbands. - Daniel Antolínez; Ana Cisnal; Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Diego Benavides; Juan Granja; Juan C. Fraile; Roberto Hornero (IEEE Access, 2025)

Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model. - Diego Marcos-Martínez; Sergio Pérez-Velasco; Víctor Martínez-Cagigal; Eduardo Santamaría-Vázquez; Roberto Hornero (Biomed. Signal Process. Control., 2025)

Enhancing user experience in c-VEP-based BCI: Effects of visual stimulus opacity on performance and visual fatigue. - Ana Martín-Fernández; Víctor Martínez-Cagigal; Selene Moreno-Calderón; Eduardo Santamaría-Vázquez; Roberto Hornero (Biomed. Signal Process. Control., 2025)

Bridging motor execution and motor imagery BCI paradigms: An inter-task transfer learning approach. - Sergio Pérez-Velasco; Diego Marcos-Martínez; Eduardo Santamaría-Vázquez; Víctor Martínez-Cagigal; Roberto Hornero (Biomed. Signal Process. Control., 2025)

A Bird Song Detector for improving bird identification through Deep Learning: a case study from Doñana. - Alba Márquez-Rodríguez; Miguel A. Mohedano-Munoz; Manuel J. Marín-Jiménez; Eduardo Santamaría-Vázquez; Giulia Bastianelli; Pedro Jordano; Irene Mendoza (CoRR, 2025)