Arvutusliku neuroteaduse seminar 2018/19 sügis

Computational Neuroscience Seminar (MTAT.03.292)

Seminars: Wednesdays 10:15, Ülikooli 17 - 218
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 in 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.

The Process

1. A student picks an article in the field of Computational Neuroscience, Neuroscience or Artificial Intelligence, reads it and gains detailed understanding of the material.
2. Then she/he prepares an hour-long presentation to explain motivation, methods and the results of the paper to the others.
3. A student also composes a test consisting of 4 questions, which will check how well the listeners understood the presentation. Test should take 10 minutes to complete and focuses of the key aspects of the article.
4. A student gives the presentation. It should be at least 1 hour long. If you have not enough material to fill the whole hour then make your presentation more detailed or pick a more informative article. Listeners can ask questions during and after the presentation.
5. After the presentation listeners do two things:
   1. Fill a feedback sheet grading various aspects of the presentation. These grades will give the presenter the feedback on his presentation skills and are used to decide whether the presenter will pass the course.
   2. Complete the test provided by the presenter. The results of this test will affect whether student passes the course.
6. Presenter grades the answers given to his test.

If we will have empty time slots (there are less people than weeks) the students with the worst attendance records will be the first candidates to present the second time. This is also a way to gain additional points.

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)