[Comp-neuro] MBL Methods in Computational Neuroscience Course

Stephen A. Baccus baccus at stanford.edu
Sat Feb 9 15:39:06 CET 2019


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 23, 2019, and the online application
form can be found at:
https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN
The course application deadline is *March 19*.

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:
http://www.mbl.edu/mcn/

2019 Course Directors:
   Stephen Baccus, Stanford University
   Xiao-Jing Wang, New York University

2019 Confirmed Faculty:
Larry Abbott, Columbia University
Emery Brown, MIT
Dmitri Chklovskii, Simons Institute
Anne Collins, UC Berkeley
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
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
Mike Shadlen, Columbia U.
Reza Shadmehr, Johns Hopkins Univ.
Sara Solla, Northwestern University
Haim Sompolinsky, Hebrew University
Klaas Stephan, Univ. of Zurich
Josh Tenenbaum, MIT
Nao Uchida, Harvard University
Greg Wayne, DeepMind
Hongkui Zeng, Allen Institute





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