Functions of nonlinear parameters, computed from electroencephalography (EEG) signals, in mental tasks classification were investigated, where the largest Lyapunov exponent, the mean period of trajectories and the average initial distance between neighboring trajectories were taken as the nonlinear parameters, and Fisher s linear discriminant was adopted as the classifier.