David Ibáñez-Soria

The paper identifies beta-gamma phase-amplitude coupling deficits in ADHD children using EEG data during resting eyes closed state.

This study identifies a non-stationary ADHD biomarker using Echo State Networks to analyze EEG differences between low and normal arousal states.

This paper introduces an Echo State Networks (ESN) approach for dynamical SSVEP detection in BCI systems, showing higher information transfer rates and shorter observation times compared to canonical correlation analysis.

This study investigates how tACS bursts at different frequencies affect neural oscillations and behavior during a visual task, finding frequency-specific changes in oscillation power, coherence, and complexity metrics.