Computational Neuroscience: Vision June 15 -28 CSHL March 15

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Cold Spring Harbor Course
Computational Neuroscience: Vision
June 15 -28
Eero Simoncelli, New York University
Eduardo-Jose Chichilinsky, The Salk Institute
Paul W. Glimcher, New York University
Computational approaches to neuroscience have produced important
in our understanding of neural processing. Prominent successes have come
areas where strong inputs from neurobiological, behavioral and 
computational approaches can interact. Through a combination of lectures 
and hands-on experience in a computer laboratory, this intensive course 
will examine areas, including color vision, spatial pattern analysis, 
binocular stereopsis, motion analysis, oculomotor function, attention,
object representation. The theme is that an understanding of the 
computational problems, the constraints on solutions to these problems,
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, and 
familiarity with computers will be beneficial. Past lecturers have 
included: Edward Adelson, Richard Andersen, David Brainard, Heinrich 
Bulthoff, Denis Dacey, 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
William Newsome, John Palmer, Tomaso Poggio, Jeff Schall, Terrence 
Sejnowski, David Sparks, Keiji Tanaka, Shimon Ullman, and Brian Wandell.

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