Alejandro Santos‐Mayo

Concept2Brain generates synthetic electrophysiological responses to text and pictures using a deep learning model, enabling reproducible EEG datasets and AI-driven brain activity modeling.

The paper introduces a decoding method using temporal features from neural time series to classify experimental conditions and assess generalization across sensor locations.

The paper predicts adolescent alcohol consumption using neuroanatomical and functional connectivity variables from MEG data in a cohort of 14-16 year olds.