The present invention relates to a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1...K reference covariance matrices, the method comprising the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of said neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1...K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). The present invention also relates to a system and method for self-paced modulation or external modulation of neural activity of a subject.
SCORING METHOD BASED ON IMPROVED SIGNALS ANALYSIS