This lab conducts research on developing effective algorithms for solving real-world problems related to machine perception as well as understanding neurocomputational mechanisms underlying perceptual processes We view these two aspects of our goal as intimately related  as we believe that information-processing mechanisms of the brain as the product of millions of years of evolution represent the optimal or near-optimal computational algorithms  and conversely the computational algorithms that ultimately work for modeling perception will be closely related to what actually are used by the brain