Computational and Cognitive Neuroscience

Suzhou, China 

July 17 - August 8, 2021
Application Deadline: May 7, 2021

ccn.pdf

Organized by:

Dora Angelaki, New York University

Christopher Honey, Johns Hopkins University

Chengcheng, Huang, University of Pittsburgh

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.

2021 Confirmed lecturers include:

Dean Buonomano, UCLA

Claudia Clopath, Imperial College London

Yang Dan, UC Berkeley

Bob Desimone, MIT

Eric, DeWitt, Champailmaud Center, Lisbon

Michael J. Frank, Brown University

Winrich Freiwald, Rockefeller University

Julijana Gjorgjieva, Max Plank Institute, Frankfurt

Liberty Hamiliton, UT Austin

Biyu He, New York University

Niko Kriegeskorte, Columbia University

Eve Marder, Brandeis University

Tony Movshon, New York University

Si Wu, Peking University

and more...

*2021 SPECIAL PRICING (INCLUDING TUITION, BOARD AND LODGING): $1500 USD

Besides support from Suzhou local government, thanks to generous support from other funding bodies including Chen Tianqiao Foundation, James Simons Foundation and DeepMind, we have sufficient stipends for applicants to apply for (with sufficient justifications) in order to off-set the course fee completely. 

No payment is due until the selection decisions are made, but any applicant requiring financial support (i.e. stipends) should make that request in written form during the online application. The admissions process is need-blind, your financial situation will not be considered before admission decisions are made. 

*The above pricing has been adjusted only for 2021 course programs to reflect changes in certain teaching methods/approaches that will be adopted in this course during the period of covid-19 pandemic.