The human visual system may be the most complex pattern recognition device known. In ways we don't fully understood, the visual brain arrives at interpretations of the retinal image that are useful for the decisions and actions of everyday life. Exactly how the brain translates retinal image intensities to useful actions is a tough problem requiring multiple approaches. A major theoretical challenge is to discover the computational principles required to learn and use image information. The empirical challenge is to discover how the brain incorporates these principles. The Computational Vision Lab combines theory with behavioral and neuroimaging experiments to understand the human visual system.
Computational Vision Lab
N218 Elliott Hall
75 East River Road
For information on graduate programs and support see: Center for Magnetic Resonance Imaging, Computational Neuroscience Program, The Cognitive Sciences Center, Neuroscience, Computer Science Department, Scientific Computation.
Kersten Lab | Vision Lab | Psychology Department | University of Minnesota
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