Detecting movement preparation with HYDRE: a hybrid model of temporal and spectral brain signals
Romaric Thiboud, Fayed Rassoulou, Denis Schwartz, Pauline Mouchès, Pierre-Elliott Thiboud, Eshaan Eshaan, Alessandro Farnè, Marine Vernet
This study introduces HYDRE, a hybrid model combining temporal, spectral, and Riemannian features to decode motor preparation from brain signals, achieving above-chance decoding up to 1400ms before movement.
bioRxiv · Oct 20, 2026 · PreprintNeuroscience