Alejandro Ojeda

This paper introduces a mobile platform called BrainE for rapid, scalable EEG-based assessment of multiple cognitive tasks and demonstrates its reliability and sensitivity to neural plasticity and mental health symptoms.

This paper performs a large-scale EEG mega-analysis across 18 studies, showing that automated processing and consistent metadata enable channel- and source-level insights into spectral and amplitude characteristics.

This paper introduces a Bayesian framework that unifies EEG data cleaning, source separation, and imaging, showing improved performance over existing methods.

This paper performs a large-scale EEG analysis across 17 studies to identify cognitive aspects of event-related responses using HED tags and RSA, showing significant similarities in annotated features across diverse conditions.