COMPUTATIONAL NEUROSCIENCE: VISION June 28 - July 11, 1996 Application Deadline: March 15, 1996 Organizers: David J. Heeger, Stanford University Eero P. Simoncelli, University of Pennsylvania Michael N. Shadlen, University of Washington Description: Computational approaches to neuroscience have produced important advances in our understanding of neural processing. Prominent successes have come in areas where strong inputs from neurobiological, behavioral and computational approaches can interact. Through a combination of lectures and hands-on experience with a computer laboratory, this intensive course will examine several areas, including feature extraction, motion analysis, binocular stereopsis, color vision, higher level visual processing, visual neural networks, and oculomotor function. The theme is that an understanding of the computational problems, the constraints on solutions to these problems, and the range of possible solutions can help guide research in neuroscience. Students should have experience in neurobiological or computational approaches to visual processing. Some background in mathematics will be beneficial. Past lecturers have included: Edward Adelson, Richard Andersen, Heinrich Bulthoff, Robert Desimone, Rudiger von der Heydt, Norma Graham, Ellen Hildreth, Peter Lennie, Stephen Lisberger, Jitendra Malik, John Maunsell, Suzanne McKee, Michael Morgan, Ken Nakayama, Izumi Ohzawa, William Newsome, Tomaso Poggio, Terrence Sejnowski, David Sparks, Keiji Tanaka, Shimon Ullman, and Brian Wandell. Further information and applications are available on the World Wide Web, or by sending email to meetings@cshl.org.