Computational Neuroscience Seminar 2020/21 fall

Computational Neuroscience Seminar (MTAT.03.292)

Seminars: Thursday 14:15, BBB (log into courses to see link)
Questions:

• Oriol Corcoll (oriol.corcoll.andreu@ut.ee)
• Raul Vicente (raulvicente@gmail.com)
• http://neuro.cs.ut.ee
• mail list: aine.ati.cnsseminar@lists.ut.ee

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 ensure 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.

Grading criteria

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)