Computational Neuroscience: Vision
A Cold Spring Harbor Laboratory Summer Course
18 June - 1 July 2004
Computational modeling and simulation have produced important advances
in our understanding of neural processing. This intensive 2-week
summer course focuses on areas of visual science in which interactions
among psychophysics, neurophysiology, and computation have been
especially fruitful. Topics to be covered this year include: neural
representation and coding; photon detection and the neural basis of
color vision; pattern and texture perception; stereo and motion
perception; oculomotor function; object/shape representation; visual
attention and decision-making.
The course combines lectures with hands-on problem solving using
the MatLab programming environment in a computer laboratory.
Lectures will be given by the course organizers and by invited
lecturers, including: Edward Adelson (MIT), David Brainard (U
Pennsylvania), Matteo Carandini (Smith-Kettlewell Eye Institute)
EJ Chichilnisky (Salk Institute), Kathleen Cullen (McGill U),
Bruce Cummings (NIH), Jim DiCarlo (MIT), David Heeger (NYU), Dan
Kersten (U Minnesota), Tony Movshon (NYU), Pam Reinagel (UCSD),
Fred Rieke (U Washington), Ruth Rosenholtz (MIT), Mike Shadlen (U
Washington), Stefan Treue (U Tuebingen), Preeti Verghese
(Smith-Kettlewell Eye Institute).
Application deadline: 15 March 2004
Alumni list: http://www.cns.nyu.edu/csh04/alumni.html
Further information: http://www.cns.nyu.edu/csh04/
Course Organizers:
Jonathan Demb, University of Michigan
Paul W. Glimcher, New York University
Eero P. Simoncelli, New York University
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