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The theoretical principles that underlie the representation and computation of higher-order structure in natural images are poorly understood. Recently, there has been considerable interest in using information theoretic techniques, such as independent component analysis, to derive representations for natural images that are optimal in the sense of coding efficiency. Although these approaches have been successful in explaining properties of neural representations in the early visual pathway anddoi:10.1088/0954-898x/14/3/306 pmid:12938768 fatcat:pauumxtijzgivbgepox7bvqvxy