My approach is based on the idea that vision – and indeed the entire human brain – interacts with the environment efficiently. Indeed, what does the human visual system do best? What is it optimized for? This line of research not only leads towards the study of visual mechanisms and their limitations but also leads towards a better understanding of visual environment properties. My lab uses a combination of physiological (e.g. fMRI), behavioral (e.g. psychophysics), and modeling (neural networks, image analysis) techniques. Current projects: visual synchrony, multi-dimensional optimization, shape perception, motion, form-motion interactions.