MBL Methods in Computational Neuroscience Course: Applications due March 7
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 30 to August 24, 2017, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 7*. 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/ 2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU
participants (1)
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Mark Steven Goldman