2018 Summer School
Summer School in Computational Neuroscience and Brain-inspired Intelligence
时间: 2021-08-30

Tsinghua University, Beijing, China

July 2-13, 2018

Organized by Tsinghua Laboratory of Brain and Intelligence (THBI)

Application Deadline:

May 30, 2018 

submit to: thbi@tsinghua.edu.cn


Sen Song, Ph.D., Tsinghua University

Jun Zhu, Ph.D., Tsinghua University

Si Wu, Ph.D., Peking University

Guoqiang Bi, Ph.D., University of Science and Technology of China

Quan Wen, Ph.D., University of Science and Technology of China  


The 1st Computational Neuroscience and Brain-inspired Intelligence Summer School organized by THBI will be held during the first two weeks of July at Tsinghua University, Beijing, China. The purpose of this summer school is to introduce experimental neuroscience researchers to the computational methods and to foster researchers proficient both in the language of neuroscience and artificial intelligence research. Graduate students and upper class undergraduate students with quantitative or experimental backgrounds are especially encouraged to apply. The lectures will introduce the basic concepts and methods in experimental data analysis, theoretical models, and machine learning, supplemented with special lectures by invited speakers on advanced topics from world renowned researchers in related fields. The students will gain hands-on experience in computational methods conducting python-based programming labs and class projects guided by the TAs. To apply, please send email with a CV including your name, educational background, related research experience, and what you expect to learn from the summer school to thbi@tsinghua.edu.cn before May 20, 2018. All participants are responsible for your own housing and meals, but no tuition and registration fee are required.

THBI Introduciton

Tsinghua Laboratory of Brain and Intelligence (THBI) is an interdisciplinary research institute. THBI aims to conduct cutting-edge interdisciplinary research across the fields of systems and computational neuroscience and artificial intelligence. It will house full-time investigators and key research facilities as well as affiliated investigators across the university. The main research directions of THBI are: 1) To develop the next generation of key neuro-technologies in brain-computer interface, human-computer interaction and neural modulation. 2) To use engineering techniques and computational models to explore complex problems in the forefront of brain science, especially in frontier areas such as neural mechanisms of speech and language, music perception and social interaction, the neural circuits of emotion and decision-making, and neuro-aesthetics. 3) To develop brain-inspired devices and systems and conduct theoretical work on general artificial intelligence systems. An important mission of THBI is to educate next generation of researchers with dual training in engineering, mathematics and neuroscience.

Main topics Covered in the Summer School

Week 1:


Introduction to Neuroscience, Mathematics/ programming bootcamp




Statistical analysis and statistical learning


Encoding, decoding and information theory


Biophysics + neural data analysis

Week 2:


Synaptic Physiology and Plasticity


Bayesian Networks and Deep Learning I


Bayesian Networks and Deep Learning II 


Reinforcement and Unsupervised Learning


Other advanced topics etc.

Invited Lecturers:

Guoqiang Bi, University of Science and Technology of China


Xiaowei Chen, Third Military Medical University of P.L.A


Dmitri Chklovskii, Flaitron Institute


Surya Ganguli, Stanford University 


Zhaoping Li, University College London 


Jian Liu, University of Leicester


Sen Song, Tsinghua University


 Charles Stevens, Salk Institute 


Louis Tao, Peking University


Misha Tsodyks, Weizmann Institute of Science


Xiaojing Wang, New York University


Quan Wen, University of Science and Technology of China


Si Wu, Peking University


Jianhua Yang, University of Massachusetts


Byron Yu, Carnegie Mellon University 


Jun Zhang, University of Michigan 


Douglas Zhou, Shanghai Jiaotong University 


Jun Zhu, Tsinghua University