Computational and Cognitive Neuroscience 2021

Suzhou, China 

July 17 - August 8, 2021
Application Deadline: April 9, 2021

Organized by:

Dora Angelaki, New York University

Christopher Honey, John Hopkins University

Xiao-Jing Wang, New York University

Robert Guangyu Yang, Columbia University


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



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.