Systems and method for conduction of single trial classification of EEG signals of a human subject generated responsive to a series of images containing target images and non target images the method comprising: obtaining said EEG signals in a spatio temporal representation comprising time points and respective spatial distribution of said EEG signals classifying said time points independently using a linear discriminant classifier to compute spatio temporal discriminating weights using said spatio temporal discriminating weights to amplify said spatio temporal representation by said spatio temporal discriminating weights at tempo spatial points respectively to create a spatially weighted representation using Principal Component Analysis (PCA) on a temporal domain for dimensionality reduction separately for each spatial channel of said EEG signals to create a PCA projection applying said PCA projection to said spatially weighted representation onto a first plurality of principal components to create a temporally approximated spatially weighted representation containing for each spatial channel PCA coefficients for said plurality of principal temporal projections and classifying said temporally approximated spatially weighted representation over said number of channels using said linear discriminant classifier to yield a binary decisions series indicative of each image of the images series as either belonging to said target image or to said non target image.
