How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function.
The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections.
This year is the third installment of the CNeuro summer school. Participants of CNeuro2020 are from more than 20 countries and 50 universities with a diverse background, from fields in Mathematics, Physics, Computer Science, Cognitive Sciences, Quantitative Life Sciences, and Biomedical Engineering, 30% of this this year’s participants are females. We expect that you will fully engage with the lectures and interactive discussions, and learn from each other. We hope that CNeuro2020 will be an unforgettable experience for all of you!
CNeuro2020_Handbook (full version)
Course Records(panbaidu code:jgzt)
|Rava Azeredo da Silveira
||Ecole Normale Superieure, France
||Tsinghua University, China
||Johns Hopkins University, USA
||University of Science and Technology of China
|Stella Christie (Tsinghua University)
||Songting Li (Shanghai JiaoTong University)
|Damon Clark (Yale University)
||Zhaoping Li (MPI of Biologial Cybernetics)
|Sara Solla (Northwestern University)
||Cristina Savin (NYU)
|Carina Curto (Penn State University)
||Eric Shea-Brown (University of Washington)
|Hang Zhang (Peking University)
||Kechen Zhang (Johns Hopkins University)
|Ralf Haefner (University of Rochester)
||Douglas Zhou (ShanghaiJiaoTong University)
|Yu Hu (HKUST)
|Daniel Lee (Cornell University)