Institute of Computer Science
  1. Courses
  2. 2020/21 fall
  3. Computational Neuroscience Seminar (MTAT.03.292)
ET
Log in

Computational Neuroscience Seminar 2020/21 fall

  • Main
  • Process
  • Timetable
  • Papers
  • Tips

Timetable

You can book when to present from this sheet. You can book a time even if you didn't select or found a paper yet. The earlier you book the better you can manage your schedule.

10.09 Week 0: Kick-off seminar
Introduction, organization of the seminar, questions.
presented by Oriol Corcoll
slides | video

17.09 Week 1: Unsupervised State Representation Learning in Atari
presented by Youssef Mohamed
feedback | test

24.09 Week 2: A critique of pure learning and what artificial neural networks can learn from animal brains
presented by Abdelrhman Eldallal
feedback | test

01.10 Week 3: The Neural Representations Underlying Human Episodic Memory
presented by Oscar Miyamoto
feedback | test | slides

13.10 Week 5: Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
presented by Navid Bamdad Roshan
feedback | test

22.10 Week 6: LXMERT: Learning Cross-Modality Encoder Representations from Transformers
presented by Tarun Khajuria
feedback | test

29.10 Week 7: Preferences Implicit in the State of the World
presented by Dmytro Zabolotnii
feedback | test

05.11 Week 8: Cellular Mechanisms of Conscious Processing
presented by Sabina Mammadova
feedback | test

12.11 Week 9: Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks
presented by Taavi Kivisik
feedback | test | slides

19.11 Week 10: Action and Perception as Divergence Minimization
presented by Novin Shahroudi
feedback | test | slides

26.11 Week 11: InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
presented by Modar Sulaiman
feedback | test | slides

03.12 Week 12: Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
presented by Behrad Moeini
feedback | test | slides

10.12 Week 13: A Theory of Natural Universal Computation Through RNA
presented by Joonas Puura
feedback | test | slides

17.12 Week 14: Hopfield Networks is All You Need
presented by Jan Aare van Gent
feedback | test | slides

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment