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 vision, and visual motion perception; oculomotor function; and visual attention and decision-making. The course combines lectures (generally two 3-hour sessions each day) with hands-on problem solving using the MatLab programming environment in a computer laboratory. Participants are also encouraged to present a course project, implementing a computational model of some aspect of vision.
This year's invited lecturers include: Edward Adelson (MIT), David Brainard (UC Santa Barbara), Marisa Carrasco (NYU), Sascha du Lac (Salk Institute), Wilson Geisler (UT Austin), David Heeger (Stanford U), J. Anthony Movshon (NYU), Andrew Parker (Oxford U), Fred Rieke (U Washington), Michael Shadlen (U Washington), Margaret Shiffrar (Rutgers U), Lawrence Snyder (Wash U St Louis), Stefan Treue (U Tübingen). A preliminary lecture schedule is currently available.
We will accept 24 students (a mixture of PhD students and postdocs). Students should have experience in neurobiological and/or computational approaches to visual processing. Some computer programming experience is required. A limited amount of partial financial assistance is available on a needs basis. An online application for admission is available at the CSHL web site: The application deadline is 15 March 2000.
| Course Organizers: |
Eero Simoncelli, New York University
E.J. Chichilnisky, Salk Institute Paul Glimcher, New York University |
| Revised: 18 February 2000. | eero AT cns.nyu.edu |