Institute of Computer Science
  1. Courses
  2. 2018/19 fall
  3. Introduction to Computational Neuroscience (MTAT.03.291)
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Introduction to Computational Neuroscience 2018/19 fall

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

Lectures

A new lecture will be added every week:

  • 03.09: 1. Introduction
  • 04.09: 2. Structure and Function of the NS
  • 10.09: 3. Windows to the brain
  • 17.09: 4. Data analysis
  • 24.09: 5. Data Analysis II
  • 01.10: 6. Single neuron models
  • 08.10: 7. Network models
  • 15.10: 8. Artificial Neural Networks
  • 22.10: 9. Perception
  • 29.10: 10. Learning and memory by Jaan Aru (From previous year)
  • 05.11: 11. Attention & Decision making
  • 12.11: 12. Brain-Computer Interface

Materials from the previous years (including video recordings of the 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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