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Computational Neuroscience: Vision

  January 26, 2010  
Cold Spring Harbor Laboratory, Cold Spring Harbor Laboratory Banbury Campus
June 18- July 1, 2010

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.
Organized by: Cold Spring Harbor Laboratory
Invited Speakers: Lecturers in the last course:
David Brainard, University of Pennsylvania
Matteo Carandini, The Smith-Kettlewell Eye Research Institute
Marisa Carrasco, New York University
EJ Chichilnisky, The Salk Institute
Bill (Wilson), Geisler University of Texas at Austin
Joshua Gold, University of Pennsylvania
David Heeger, New York University
Bart Krekelberg, Rutgers University
Partha Mitra, Cold Spring Harbor Laboratory
J. Anthony Movshon, New York University
Andrew Parker, Oxford University
Anitha Pasupathy, University of Washington
Pamela Reinagel, UCSD
Eero Simoncelli, New York University
Alexander Thiele, Newcastle University
Frank Tong, Vanderbilt University
Deadline for Abstracts: Application Deadline is March 15, 2010
Registration: http://meetings.cshl.edu/course/courseapp_instr.shtml
E-mail: postyn@cshl.edu
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