Alice Mado Proverbio

This paper uses EEG data from a professional pianist to classify emotional categories during musical performance using machine learning, finding that oscillatory brain activity can distinguish between different emotional states.

This paper analyzes motor timing in piano performance to show a shared low-frequency oscillatory pattern across different musical styles.

This study identifies EEG markers for 12 motivational and physiological states using ERPs and brain activation patterns, supporting their use in BCI applications.

The paper investigates if emotional content in music is processed similarly to affective prosody in speech by analyzing ERP components and brain regions involved.

The paper investigates neural and musical attributes of beauty during naturalistic music listening using behavioral, neuroimaging, and expert judgments.

This study investigates how emotional memory affects face remembering using ERP signals, finding that emotional valence enhances memory traces and that temporal recency influences neural responses.