Computational and Cognitive Neuroscience
Suzhou, China
June 2021
Organized by:
Xiao-Jing Wang, New York University, USA
Dora Angelaki, New York University, USA
Christopher Honey, Johns Hopkins University, USA
Robert Guangyu Yang, Columbia University, USA
The Computational and Cognitive Neuroscience (CCN) summer school:
Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. 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 and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods.
Past Invited lecturers include (Lecturer, Affiliation):
Carlos Brody, Princeton University
Bob Desimone, MIT
Bard Ermentrout, University of Pittsburgh
Winrich Freiwald, Rockefeller University
Biyu He, New York University
Sukbin Lim, NYU Shanghai
John Murray, Yale University
Jascha Sohl-Dickstein, Google Brain
Jonathan Winawer, New York University
Byron Yu, Carnegie Mellon University
+ More
REGULAR PRICING (INCLUDING TUITION, BOARD AND LODGING): 1950 USD
Please note stipends are available to offset tuition costs.
No payment is due until the selection decisions are made but any applicant requiring support should request this in writing during the online application.
The admissions process is need-blind, your financial situation will not be considered before admission decisions are made.
Apply Here
