Matteo Ferrante

This paper develops a cross-subject neural-to-phoneme decoder for speech BCIs, achieving performance comparable to within-subject models through shared space alignment and hierarchical GRU decoding.

This paper develops a deep learning model to generate synthetic TSPO PET images from structural MRI data, achieving accurate spatial patterns and maintaining reconstruction accuracy after normalization.