Jose Luis Contreras-Vidal

This study uses mobile EEG to record brain activity of five butoh dancers during rehearsals and performances, sharing data and methods for interbrain synchrony analysis.

This paper decodes speech features from EEG signals using deep learning models, achieving above-chance performance for both discrete and continuous speech tasks.

The paper examines how neural variability, measured via EEG entropy and standard deviation, modulates with grip force magnitude during precision grasping tasks.