This is a 3rd year Computer Science and MSc unit. We will try to understand how the brain works from a computational point of view.

See the coursework folder.

• Laurence Aitchison (unit director)

All live sessions will be hosted on Microsoft Teams. You should already have been added to the group "COMS30017: Computational Neuroscience (Teaching Unit) 2021/22 (TB-1, A)" You can download the MS Teams app free here, using your UoB email address.

• Unit forum subreddit: ask questions here. It includes questions from the previous year of the course, so some of the "admin" things may be different. But the course content will be similar!
• Blackboard page: official University of Bristol landing page.

• Weeks 1-7: Video lectures for the week released each Monday. Please watch when you can during the week. Each week will cover a different topic. Most weeks will also come with question sheets.
• Weeks 2-8: Monday 12-1pm, live Q+A session with lecturer(s). Chance to ask questions to the lecturer about the previous week's material. Hosted on Microsoft Teams.
• Weeks 2-7: Wednesday 11-12am, live bubble discussion seminars. Each bubble will be moderated by a TA or lecturer with discussion topics related to the lecture material. Hosted on Microsoft Teams.
• Weeks 8-10: Coursework time, for those taking the 20-credit coursework version of the unit (COMS30015).
• Week 11: Consolidation week. Catch up week for any further lecture material.
• Week 12: Revision week. Preparation week for those students taking the 10-credit written exam version of unit (COMS30016 or COMSM0039).

The 2021 January exams with solutions can be found here:

• COMS30016
• COMSM0039

Previous years' exams can be found here (note they were a different format and had a different syllabus, so the above exam is more relevant): https://github.com/coms30127/exam_papers

[Lectures are from Cian, but please don't contact Cian as he has now left the university! Please ask at the lecturer-led Q&A, ask your TA, on the reddit or ask me ([email protected]).]

Lectures:

• lecture 1 stream; slides (part 1) slides (part 2)
• lecture 2 stream; slides
• notes

You may notice that these were originally compiled for a PPN course. We need to go a bit further. (Hopefully, you'll know at least one of the topics below, depending on your course):

• Computing notes
• Mathematics notes
• Numerical notes (We're aware the link may be broken if you're looking at this on Monday.

Problem sheet

Answers to problem sheet

Q&A

Link to last year's lectures/content

Hodgkin Huxley, modelling neurons, analysing spiking data.

[Lectures are from Cian, but please don't contact Cian as he has now left the university! Please ask at the lecturer-led Q&A, ask your TA, on the reddit or ask me ([email protected]).]

|QA| [Stream link]

Previous notes from CH:

• Leaky buckets
• Integrate and fire
• Hodgkin and Huxley