Envíos recientes

Mostrando ítems 1-5 de 42

EEG biomarkers of cognitive load: Insights from incremental element encoding in short-term working memory

Pascual Roa, Beatriz; SantaMaría Vazquez, Eduardo ; Marcos Martínez, Diego ; Pérez Velasco, Sergio ; Ruiz Gálvez, Rubén; Martínez Cagigal, Víctor ; Hornero Sánchez, Roberto (2026)
Toward the integration of mixed reality and brain-computer interfaces based on code-modulated visual evoked potentials

Moreno Calderón, Selene ; Martínez Cagigal, Víctor ; Martín Fernández, Ana; SantaMaría Vazquez, Eduardo ; Hornero Sánchez, Roberto (2025)
Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model

Marcos Martínez, Diego ; Pérez Velasco, Sergio ; Martínez Cagigal, Víctor ; SantaMaría Vazquez, Eduardo ; Hornero Sánchez, Roberto (2025)
Effect of MAPT gene variations on the brain electrical activity: A multiplex network study

Maturana Candelas, Aaron ; Hornero Sánchez, Roberto ; Poza Crespo, Jesús ; Rodríguez González, Víctor ; Gutierrez De Pablo, Victor ; Pinto, Nádia; Rebelo, Miguel Ângelo; Gómez Peña, Carlos (2025)
Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach

Gutierrez De Pablo, Victor ; Herrero Tudela, María ; Sandonís Fernández, Marina; Poza Crespo, Jesús ; Maturana Candelas, Aaron ; Rodríguez González, Víctor ; Tola Arribas, Miguel Ángel ; Cano, Mónica; Hoshi, Hideyuki; Shigihara, Yoshihito; Hornero Sánchez, Roberto ; Gómez, Carlos (2025)

GIB - Artículos de revista: Envíos recientes

EEG biomarkers of cognitive load: Insights from incremental element encoding in short-term working memory ﻿

Toward the integration of mixed reality and brain-computer interfaces based on code-modulated visual evoked potentials ﻿

Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model ﻿

Effect of MAPT gene variations on the brain electrical activity: A multiplex network study ﻿

Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach ﻿

EEG biomarkers of cognitive load: Insights from incremental element encoding in short-term working memory

Toward the integration of mixed reality and brain-computer interfaces based on code-modulated visual evoked potentials

Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model

Effect of MAPT gene variations on the brain electrical activity: A multiplex network study

Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach