COMPUTATIONAL NEUROSCIENCE: VISION
June 20 - July 3, 2012
Application Deadline: March 15, 2012
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 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.
Invited
Lecturers:
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 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.
Cost
(including board and lodging): $3,530
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