Instructors:
Geoffrey Boynton, University of Washington
Gregory Horwitz, University of Washington
Jonathan Pillow, University of Texas Austin 
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 with MATLAB-based computer tutorials and projects, this intensive course will examine visual information processing from the retina to higher cortical areas, spatial pattern analysis, motion analysis, neuronal coding and decoding, attention, and decision-making.

Speakers from last session: 
David Brainard, University of Pennsylvania
Matteo Carandini, University College London
Marisa Carrasco, New York University
EJ Chichilnisky, The Salk Institute
Marlene Cohen, Harvard Medical School
Greg DeAngelis, University of Rochester
Ione Fine, University of Washington
Bill (Wilson) Geisler, University of Texas at Austin
David Heeger, New York University
Adam Kohn, Albert Einstein College of Medicine
Nikolaus Kriegeskorte, Medical Research Council
John Maunsell, Harvard Medical School
Tirin Moore, Stanford University
J. Anthony Movshon, New York University
Nicole Rust, University of Pennsylvania
Michael Shadlen, University of Washington
Eero Simoncelli, New York University

The course will be held at the Laboratory’s BanburyConference 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.

Cost (including board and lodging): $3,600