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The 2017 CCN Summer School will take place July 6-29, 2017 at the campus of NYU Shanghai in Shanghai, China. See below for the 2017 Lecturers.
The application deadline is March 15. Application information will be available in January. 

 

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 across 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.

Organizers:

  • Xiao-Jing Wang (New York University)
  • Zach Mainen (Champalimaud Neuroscience Program)
  • Si Wu (Beijing Normal University)
  • John D. Murray (Yale University)
  • Eric DeWitt (Champalimaud Neuroscience Program)

2017 Lecturers:

  • Daphne Bavelier (University of Geneva)
  • Timothy Behrens (University of Oxford)
  • Matthew Botvinick (Google DeepMind)
  • Michael Breakspear (University of Queensland)
  • Robert Desimone (Massachusetts Institute of Technology)
  • Jeff Erlich (NYU Shanghai)
  • Stefano Fusi (Columbia University)
  • Surya Ganguli (Stanford University)
  • Michael Hausser (University College London)
  • Nikolaus Kriegeskorte (MRC Cognition and Brain Sciences Unit)
  • Yann LeCun (New York University & Facebook AI Research)
  • Sukbin Lim (NYU Shanghai)
  • Alex Pouget (University of Geneva)
  • Matthew Rushworth (University of Oxford)

Course website