This short course provides a week long introduction to the field of computational neuroscience. Theoretical studies of brain functions have focused on the information processing properties of individual neurons, neural circuits and networks, and systems. Computational neuroscience seeks to study these functions as revealed by neurophysiological experiments through computational means, and, as such, is high interdisciplinary and cross-disciplinary. Our program brings together experimentalist, modelers, and theoreticians to illustrate the diverse approaches and disciplines that make up computational neuroscience.
The 2017 short course is sponsored by the SJTU Institute of Natural Sciences, the SJTU Zhiyuan College, and the Chinese Society for Neuroscience (Committee on Computational Neuroscience and Neural Engineering).
December 25 ~ 29, 2017
Room 601, Pao Yue-Kong Library, Minhang Campus, Shanghai Jiao Tong University
Application and Registration
Please register online. Apply Online
Preference is given to, but not limited to, applicants with a basic understanding of ordinary differential equations and probability and a working knowledge of Matlab.
No registration fee. Participants should cover their own lodging and meals.
•Louis Tao, Peking University
•Douglas Zhou, SJTU
•Li Liu, Institute of Biophysics, Chinese Academy of Sciences
•Kai Wang, Institute of Neuroscience, Chinese Academy of Sciences
•Chun Xu, Institute of Neuroscience, Chinese Academy of Sciences
•Shangbang Gao, College of Life Science & Technology, Huazhong University of Science and Technology
•Zengcai Guo, School of Medicine, Tsinghua University
•Yuguo Yu, Fudan University
•Jisong Guan, Tsinghua University
•Zhihua Wu, Institute of Biophysics, Chinese Academy of Sciences
•Bailu Si, Shenyang Institute of Automation, Chinese Academy of Sciences
|Date ||Time ||Speaker ||Title |
|Dec 25 ||9:00-12:00 ||Chun Xu ||Context Processing and behavioral regulations |
|Dec 25 ||14:00-17:00 ||Yuguo Yu ||Energy consumption of individual neurons and glial cells |
|Dec 26 ||9:00-12:00 ||Bailu Si ||Neural Network Models of Memory |
|Dec 26 ||14:00-17:00 ||Kai Wang ||Optical Neuroimaging |
|Dec 27 ||9:00-12:00 ||Li Liu ||Visual learning and memory in Drosophila |
|Dec 27 ||14:00-17:00 ||Jisong Guan ||Neural mechanisms of learning & memory |
|Dec 28 ||9:00-12:00 ||Shangbang Gao ||How we move our body, motor circuit and underlying molecular mechanisms |
|Dec 28 ||14:00-17:00 ||Computer Lab Projects || |
|Dec 29 ||9:00-12:00 ||Zhihua Wu ||Inhibitory neural networks and striatal oscillations |
|Dec 29 ||14:00-17:00 ||Zengcai Guo ||The neural mechanism of working memory |
Computer Lab Projects:
Students who have a basic understanding of ordinary differential equations, probability, and a working knowledge of Matlab may use computer simulations to partially reproduce the Nobel prize work done by Hodgkin and Huxley.
Venue: Room 200, 2nd Floor, Department of Mathematics, SJTU
Date: Dec 28, 2017 14:00-17:00