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.