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Methods in Computational Neuroscience

Course at the Marine Biological Laboratory in Woods Hole, MA, USA. August 2 - 28, 2020

Event details

When

Aug 02, 2020 09:00 AM to
Aug 28, 2020 06:00 PM

Where

Woods Hole, MA, USA

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The course covers a range of topics in computational neuroscience
including neuronal biophysics, neural coding & information processing,
circuit dynamics, learning & memory, motor control, and cognitive
processing & disease.  In addition, numerous tutorials and problem sets
will cover a broad range of computational and mathematical modeling
methods.  The course strongly emphasizes the collaboration between
theory and experiment in solving neuroscience problems, and lectures
will be given by a mixture of theorists and experimentalists.  The 
final weeks of the course
 are primarily reserved for work on
projects that students design in collaboration with the resident
faculty.

Application deadline is March 16, 2020.

 

Course Directors
Stephen Baccus, Stanford University
Xiao Jing Wang, New York University

Faculty
Larry Abbott, Columbia University
Emery Brown, MIT
Randy Buckner, Harvard University
Dmitri Chklovskii, Simons Institute
Claudia Clopath, Imperial College London
Shaul Druckmann, Stanford University
Uri Eden, Boston University
Bard Ermentrout, U. of Pittsburgh
Adrienne Fairhall, U. of Washington
Ila Fiete, University of Texas Austin
James Fitzgerald, Janelia Res., HHMI
Loren Frank, UCSF
Michale Fee, MIT
Stefano Fusi, Columbia University
Surya Ganguli, Stanford University
Juliana Gjorgjieva, Max Planck Institute
Mark Goldman, UC Davis
Nancy Kopell, Boston University
Eve Marder, Brandeis University
Bartlett Mel, Univ. of Southern California
David Redish, U. Minnesota
Robb Rutledge, Yale University
Terry Sejnowski, Salk Institute
Mike Shadlen, Columbia U.
Reza Shadmehr, Johns Hopkins Univ.
Sara Solla, Northwestern University
Haim Sompolinsky, Hebrew University
Nelson Spruston, Janelia Research Campus
Josh Tenenbaum, MIT
Nao Uchida, Harvard University
David Van Essen, Washington University
Greg Wayne, DeepMind

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