COMPUTATIONAL NEUROSCIENCE: VISION
June 20 - July 3, 2008
Application Deadline: March 31, 2008

Instructors:
Geoffrey Boynton, University of Washington
Gregory Horwitz, University of Washington
Stefan Treue, German Primate Center

Computational approaches to neuroscience will produce important advances in our understanding of neural processing. Prominent success will come in areas where strong inputs from neurobiological, behavioral and computational investigation can interact. The theme of the course 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. Through a combination of lectures and hands-on experience in a computer laboratory, this intensive course will examine color vision, spatial pattern analysis, motion analysis, oculomotor function, attention, and decision-making.

Lecturers in the last course:
Larry Abbott, Columbia University
David Brainard, University of Pennsylvania
Matteo Carandini, The Smith-Kettlewell Eye Reserach Institute
Marisa Carrasco, New York University
EJ Chichilnisky, The Salk Institute
Yang Dan, University of California, Berkeley
Jack Gallant, University of California, Berkeley
Wilson Geisler, University of Texas
David Heeger, New York University
Nancy Kanwisher, MIT
Michael Lewicki, Carnegie Mellon University
J. Anthony Movshon, New York University
Michael Platt, Duke University
Pamela Reinagel, UCSD
Dario Ringach, University of California, Los Angeles
Jonathan Victor, Cornell University Medical College

The course will be held at the Laboratory’s Banbury Conference Center located on the north shore of Long Island. All participants stay within walking distance of the Center, close to tennis court, pool and private beach.