Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing

► A wrapper method is suggested to get discriminant features in neuroscience. ► SVM-RFE is proposed for feature selection related to affective valence. ► Topography-time-frequency analysis is used to get relevant scalp regions. ► Morlet wavelet filter is used for feature extraction from event related potentials.