Institute of Computer Science
  1. Courses
  2. 2019/20 fall
  3. Introduction to Computational Neuroscience (MTAT.03.291)
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Introduction to Computational Neuroscience 2019/20 fall

  • Main
  • Lectures
  • Practices
  • Projects
  • Exam
  • Links & Reading

Lectures

A new lecture will be added every week:

  • 02.09: 1. Introduction
  • 09.09: 2. Structure and Function of the NS
  • 16.09: 3. Windows to the brain
  • 17.09: 4. Data analysis
  • 30.09: 5. Data Analysis II
  • 07.10: 6. Single neuron models (From previous year)
  • 14.10: Visit to EEG, fNIRS Lab at Psychology Department of University of Tartu
  • 21.10: 7. Network models (From previous year)
  • 28.10: 8. Artificial Neural Networks (From previous year)
  • 04.11: 9. Perception
  • 11.11: 10. Learning and memory by Jaan Aru (From previous year)
  • 18.11: 11. Attention & Decision making
  • 25.11: 12. Brain-Computer Interface (From previous year)
  • 02.12: 13. Neuroscience & Society

https://www.uttv.ee/naita?id=29008

  • 22.10: 9. Perception

Materials from the previous years (including video recordings of the lectures):

https://courses.cs.ut.ee/2018/neuro/fall/Main/Lectures

https://courses.cs.ut.ee/2018/neuro/spring/Main/Lectures

https://courses.cs.ut.ee/2016/neuro/fall/Main/Lectures

https://courses.cs.ut.ee/2015/neuro/spring/Main/Lectures

https://courses.cs.ut.ee/2014/neuro/spring/Main/Lectures

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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