Pauline Mouchès

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.

This paper introduces a method to detect brain network communities at different temporal scales by analyzing information flow through oscillatory modes and clustering nodes based on their co-occurrence.