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Discover the fundamentals of computational neuroscience in this course. Explore key concepts, current research questions, and how this field’s insights can address complex challenges in medicine and biomedical engineering.
This course covers foundational topics in computational neuroscience, including neuronal biophysics, the Hodgkin-Huxley model, dendritic nonlinearity, and spike-train activity models. Explore neural coding and computations in sensory, motor, and memory systems, along with neuroinformatics techniques like dimensionality reduction. This course concludes with emerging themes and applications in robotics and brain-machine interfaces.
24 June — 29 June 2025
C. W. Chu College, Chinese University of Hong Kong
HK$3,000 (Includes accommodation)
Apply by 30 April 2025
Postgraduate students and early career researchers
If you have any enquiries about the course, please contact Kelvin Lau by email at yatsingkelvinlau@cuhk.edu.hk.
Associate Professor, School of Biomedical Sciences, Chinese University of Hong Kong
Assistant Professor, Department of Mathematics, Hong Kong University of Science and Technology
Assistant Professor, Division of Life Science, Hong Kong University of Science and Technology
Team Leader, Laboratory for Neural Computation and Adaptation, Center for Brain Science (RIKEN, Japan)
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