Giovanni Messuti

This paper introduces a two-phase deep learning framework for EEG-MEG decoding in BCI, showing improved classification accuracy and transferability across participants.

The paper investigates how structural brain connections enable diverse dynamic patterns by testing if neuronal activity near a critical regime explains structural-functional relationships.

The paper characterizes neuronal avalanche criticality during sleep and links it to sleep architecture, showing power law distributions and scaling relations consistent with mean-field directed percolation.