Teaching

This block seminar is a 2-week project-based course where we will discuss the mathematical foundations of common methods in computational neuroscience, and implement them in python.

You will work in groups to identify relevant scientific papers, come up with a modeling, analysis, and/or machine learning project based on methods in an existing paper(s), formulate a tractable question, implement models and analyses, apply them on openly available neural datasets, and communicate your findings. See Neuromatch Academy’s Computational Neuroscience Course Project page as an example of the scope.

Room: TBD

Dates:

• Initial meeting: Wednesday, January 21, 2026, 10am-12pm;
• Hackathon period: two weeks between February 2-March 6, 2026 (decided based on group availability).