We are pleased to announce the 6th Computational and Cognitive Neuroscience (CCN) Summer School which will take place July 9-27, 2016, on the campus of NYU-Shanghai in Shanghai, China.
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.
Course information is available on the CCN official website:
www.ccnss.org
The application deadline is March 15.
Organizers:
- Xiao-Jing Wang (New York University)
- Zach Mainen (Champalimaud Neuroscience Program)
- Si Wu (Beijing Normal University)
- Eric DeWitt (Champalimaud Neuroscience Program)
- John D. Murray (Yale University)
Lecturers:
- Yang Dan (University of California, Berkeley)
- Gustavo Deco (Universitat Pompeu Fabra)
- Stanislas Dehaene (College de France)
- Bob Desimone (Massachusetts Institute of Technology)
- Michael Hausser (University College London)
- Quentin Huys (University of Zurich)
- Razvan Pascanu (Google)
- Philip Sabes (University of California, San Francisco)
- Mariano Sigman (Universidad Torcuato Di Tella)
- Mike Shadlen (Columbia University)
- Misha Tsodyks (Weizmann Institute)
- Daniel Yamins (Stanford University)