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.

2025 FACULTY ROSTER

João Barbosa, Institute for Neuromodulation & NeuroSpin, Paris   

Upinder Bhalla, National Centre for Biological Sciences (TIFR)

Áine Byrne, University College Dublin

Xing Chen, University of Pittsburgh   

Gustavo Deco, Universitat Pompeu Fabra    

Michael Häusser, University College London

Chengcheng Huang, University of Pittsburgh    

Kevin Wenliang Li, Google DeepMind

Songting Li, Shanghai Jiao Tong University

Sukbin Lim,  New York University, Shanghai

Jorge Mejias, University of Amsterdam

Yuanyuan Mi, Tsinghua University  

Srdjan Ostojic, École normale supérieure    

Alexander Reyes, New York University

Xiao-Jing Wang, New York University 

Anqi Wu, Georgia Institute of Technology   

Si Wu, Peking University    

2025 PRICING (INCLUDING TUITION, BOARD AND LODGING): 1950 USD

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. 

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