[Comp-neuro] MBL Methods in Computational Neuroscience Course - deadline March 20

Stephen A. Baccus baccus at stanford.edu
Mon Mar 12 17:11:22 CET 2018

Applications are open for the Methods in Computational Neuroscience
course at the Marine Biology Laboratory in Woods Hole, MA.  The course
will run from July 29 to August 24, 2018, and the online application
form can be found at:
The course application deadline is *March 20*.

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. Further information can be found on the MCN website:

2018 Course Directors:
   Stephen Baccus, Stanford University
   Xiao-Jing Wang, New York University

2018 Confirmed Faculty:
   Larry Abbott, Columbia University
   Carlos Brody, Princeton University
   Emery Brown, MIT
   Dmitri Chklovskii, Simons Institute
   Claudia Clopath, Imperial Col. London
   Kenji Doya,  Okinawa Inst. Sci. Tech.
   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
   Mark Goldman, UC Davis
   Kenneth Harris, U. College London
   James Haxby, Dartmouth University
   Nancy Kopell, Boston University
   Eve Marder, Brandeis University
   Bartlett Mel, Univ. of Southern California
   Jonathan Pillow, Princeton University
   David Redish, U. Minnesota
   Terry Sejnowski, Salk Institute
   Reza Shadmehr, Johns Hopkins Univ.
   Sara Solla, Northwestern University
   Haim Sompolinsky, Hebrew University
   Josh Tenenbaum, MIT
   Nao Uchida, Harvard University
   Greg Wayne, DeepMind
   Hongkui Zeng, Allen Institute

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