Applications are now open for the 8th Computational and Cognitive Neuroscience (CCN) Summer School! The course will take place June 26 – July 19, 2018 in Suzhou, China at the campus of Cold Spring Harbor Asia.


Apply here:


Application deadline is March 4th.

Welcome to the Computational and Cognitive Neuroscience (CCN) Summer School.

Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental background are welcomed. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation, microcircuits and large-scale systems, to normative theoretical approach. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods.

  • Xiao-Jing Wang (New York University)
  • Zach Mainen (Champalimaud Research)
  • Si Wu (Peking University)
  • John D. Murray (Yale University)
  • Eric DeWitt (Champalimaud Research)
CCNSS 2018 Faculty
  • Eric DeWitt (Champalimaud Research)
  • Shaul Druckmann (Stanford)
  • Jeff Erlich (NYU Shanghai)
  • Birte Forstmann (U Amsterdam)
  • David Foster (UC Berkeley)
  • Julijana Gjorgjieva (MPI Brain Research)
  • Michael Hausser (UCL)
  • Alex Huth (UT Austin)
  • Chris Honey (Johns Hopkins)
  • Sukbin Lim (NYU Shanghai)
  • Zach Mainen (Champalimaud Research)
  • John Murray (Yale)
  • Peggy Series (U Edinburgh)
  • Maurice Smith (Harvard)
  • Xiao-Jing Wang (NYU)
  • Si Wu (Beijing Normal)
  • Byron Yu (Carnegie Mellon)
  • + more!
CCNSS 2018 Sponsors

Course website