Computational Neuroscience Seminar (MTAT.03.292)
Seminars: Tuesdays 14:15, hybrid
Room: Narva 18 - 2048,
Meeting link: https://teams.microsoft.com/l/meetup-join/19%3a6wBi5prGALWcghvk5rDloVzR-0pWQWvs-m7EjX1doVo1%40thread.tacv2/1661948166000?context=%7b%22Tid%22%3a%226d356317-0d04-4abc-b6b6-8c9773885bb0%22%2c%22Oid%22%3a%2249d6c2f8-c04a-46f3-b917-be4cab522b1f%22%7d
- Aqeel Labash (email@example.com)
- Marharyta Domnich (firstname.lastname@example.org)
- Raul Vicente (email@example.com)
- Slack: neurocs.slack.com channel #course-cns-seminar.
About the course
The course is mainly addressed to the Master and Doctorate programs. Students interested in acquiring a perspective in modern neuroscience and computational neuroscience research are welcomed. We will cover advanced and recent papers in neuroscience and deep learning. Advanced research-level discussions are expected to ensue after each paper presentation. Depending on the number of participants each student will read 1 or 2 scientific articles and explain those articles to the others. Note that seminars will be recorded, if you have a problem with this let us know beforehand.
Topic focused seminar
The seminar will focus on a specific topic related to computational neuroscience.
This semester we will discuss the topic of Explainability and Theory of Mind.
This is a pass/fail course. During the course, you will collect points1. To pass you need to collect 70 out of 100 points:
- Presenting an article gives you 50 points multiplied by the score from the listener feedback (example: if listener feedback is 16 out of 20, then you get 50*0.8 = 40 points)
- Attending all seminars gives 20 points (~ 1.42 per seminar2)
- 30 points can be collected from the tests (answering all 4 questions correctly is worth ~2.1 points2)
Points:CNS Seminar 2022/2023 Fall
1 Rescaling might occur.
2 Depends on the total number of seminars.