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.
- 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 2020/21 January exams with solutions can be found here:
Previous years' exams can be found here (note they were a different format): https://github.com/coms30127/exam_papers
video | slides |
---|---|
Stream link |
Lecture | video | slides |
---|---|---|
1. Why brains? | 19:47 Stream link | |
2. Brain anatomy. | 21:37 Stream link | |
3. Neuron anatomy: axons, dendrites, synapses. | 12:02 Stream link | |
4. Neuronal communication. | 14:37 Stream link | |
5. Measuring, recording and stimulating the brain. | 19:54 Stream link | |
Problem sheet | --- | |
QA | Stream link | --- |
Lectures:
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.