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
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.
|Date||Time||Speaker & Short Bio||Title|
|Dec 25||08:55-09:00||Shigang He||Opening Remarks & Group Photo|
|09:00-10:20||Chun Xu||Context Processing and behavioral regulations|
|10:40-12:00||Chun Xu||Context Processing and behavioral regulations|
|14:00-15:20||Yuguo Yu||Energy consumption of individual neurons and glial cells|
|15:40-17:00||Yuguo Yu||Energy consumption of individual neurons and glial cells|
|Dec 26||09:00-10:20||Bailu Si||Neural Network Models of Memory|
|10:40-12:00||Bailu Si||Neural Network Models of Memory|
|14:00-15:20||Kai Wang||Optical Neuroimaging|
|15:40-17:00||Kai Wang||Optical Neuroimaging|
|Dec 27||09:00-10:20||Li Liu||Visual learning and memory in Drosophila|
|10:40-12:00||Li Liu||Visual learning and memory in Drosophila|
|14:00-15:20||Jisong Guan||Neural mechanisms of learning & memory|
|15:40-17:00||Jisong Guan||Neural mechanisms of learning & memory|
|Dec 28||09:00-10:20||Shangbang Gao||How we move our body, motor circuit and underlying molecular mechanisms|
|10:40-12:00||Shangbang Gao||How we move our body, motor circuit and underlying molecular mechanisms|
|14:00-17:00||Computer Lab Projects|
|Dec 29||09:00-10:20||Zhihua Wu||Inhibitory neural networks and striatal oscillations|
|10:40-12:00||Zhihua Wu||Inhibitory neural networks and striatal oscillations|
|14:00-15:20||Zengcai Guo||The neural mechanism of working memory|
|15:40-17:00||Zengcai Guo||The neural mechanism of working memory|
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