Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA.  The course
will run from July 26 to August 23, 2023. The online application
form and additional information can be found at:

https://www.mbl.edu/education/advanced-research-training-courses/course-offerings/methods-computational-neuroscience

The course application deadline is *March 31*.

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.

2023 Course Directors:
Stephen Baccus, Stanford University
Xiao Jing Wang, New York University 
2023 Faculty:
Larry Abbott, Columbia University 
Emery Brown, MIT
Nicolas Brunel, Duke University
Randy Buckner, Harvard University
Anne Churchland, UCLA
Claudia Clopath, Imp. College London
Marlene Cohen, U. of Pittsburgh
Shaul Druckmann, Stanford University
Uri Eden, Boston University
Bard Ermentrout, U. of Pittsburgh 
Adrienne Fairhall, U. of Washington 
Michale Fee, MIT
Loren Frank, UCSF
Stefano Fusi, Columbia University Surya Ganguli, Stanford University
Paul Glimcher, New York University
Mark Goldman, UC Davis
Nancy Kopell, Boston University
Eve Marder, Brandeis University 
John Murray, Yale University
Srdjan Ostojic, ENS - PSL
Yiota Poirazi, IMBB-FORTH
David Redish, U. Minnesota
Terry Sejnowski, Salk Institute
Sebastian Seung, Princeton University
Reza Shadmehr, Johns Hopkins Univ.
Haim Sompolinsky, Hebrew University
Nelson Spruston, Janelia Res., HHMI
Nao Uchida, Harvard University
Byron Yu, Carnegie Mellon University
Greg Wayne, DeepMind