Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
June 20 - July 3, 2012
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.
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Invited Speakers:
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Lecturers in the previous course:
Edward Adelson, Massachusetts Institute of Technology
David Brainard, University of Pennsylvania
Marisa Carrasco, New York University
Francis Chance, University of California, Irvine
EJ Chichilnisky, The Salk Institute
Yang Dan, University of California, Berkeley
Bill (Wilson), Geisler, University of Texas at Austin
David Heeger, New York University
Judith Hirsch, University of Southern California, Los Angeles
J. Anthony Movshon, New York University
Clay Reid, Harvard Medical School
Nicole Rust, University of Pennsylvania
Michael Shadlen, University of Washington
Eero Simoncelli, New York University
Lawrence Snyder, Washington University, School of Medicine
Friedrich "Fritz", Sommer, Redwood Neuroscience Institute
Doris Tsao, California Institute of Technology
Michael Webster, University of Nevada, Reno
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