Computational neuroscience

Computational neuroscience
Brain-computer interface
Neural networks

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.

  • 23 June — 28 June 2025

  • C. W. Chu College, Chinese University of Hong Kong

  • HK$3,000 (Includes accommodation)

  • Apply by 11 April 2025

What you'll study

  • Explore foundational concepts such as biophysics of neuronal membranes
  • Learn about neural codes and computations
  • Study analytic techniques in neuroinformatics
  • Discuss emerging themes and applications in computational neuroscience

 

Who is the course for

Postgraduate students and early career researchers

If you have any enquiries about the course, please contact Kelvin Lau by email at .

Course directors

Vincent Cheung
Vincent Cheung

Associate Professor, School of Biomedical Sciences, Chinese University of Hong Kong

Yu Hu
Yu Hu

Assistant Professor, Department of Mathematics, Hong Kong University of Science and Technology

Julie Semmelhack
Julie Semmelhack

Assistant Professor, Division of Life Science, Hong Kong University of Science and Technology

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