Before revision:  In this paper, we showed that using a dictionary of complex sparse codes,  learned from natural scenes based on efficient coding theory, as the front-end for these methods can improve their performance in neural response prediction.
After revision:  In this paper, we showed that using a dictionary of complex sparse codes, learned from natural scenes based on efficient coding theory, as the front-end for PPR and CNNs can improve their performance in neural response prediction.