In this summer course, local and international experts will deliver lectures on select topics. Considering that some students may not have a background in statistics and computer science, tutorials will be organised to help them acquire foundation knowledge. The tutorials will also serve as a platform for exchange of ideas and generation of novel collaborative possibilities.

In addition to providing students with a solid introduction to the fundamentals of the field, we will also ask our lecturers to discuss their latest research highlights. The advanced topics covered will be selected based on an emerging theme in the field, and for the 2019 course is “Beyond the Local Circuit”.

By the end of the course, our students will have their own answers to the following questions: 

• What is computational neuroscience? In what ways is this discipline complementary to other ways of studying the Brain (such molecular and cellular approaches)? 
• What are some current models of how sensory information or motor plans may be encoded by neural signals? 
• How is computational neuroscience relevant to understanding nervous disorders – from Alzheimer’s diseases, stroke, to schizophrenia – and to devising novel treatment strategies for them?
• How may ideas in computational neuroscience be exploited to design brain-computer interfaces? 
• What are the major open questions and key approaches for driving latest and upcoming breakthroughs in computational neuroscience?

Course Faculty:

Rosa Chan (CityU of HK)

Sage Chen (NYU)

Vincent Cheung (CUHK)

Yu Hu (HKUST)

Ko Ho Owen (CUHK)

Julie Semmelhack (HKUST)

Xiao-Jing Wang (NYU)

Quan Wen (USTC, China)

Sukbin Lim (NYU Shanghai)