Institute of Computer Science
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  2. 2022/23 spring
  3. Natural and Artificial Intelligence Seminar (MTAT.03.292)
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Natural and Artificial Intelligence Seminar 2022/23 spring

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Timetable

The course consists of suggested chapters from the book, but if you would like to present a chapter that has not been suggested you can contact the lecturers. You could also present a brief overview of the chapter and focus on a specific aspect (i.e., present a specific article that relates to that chapter) that is more relevant for your research (please validate the relevance of the article with the lecturers beforehand). The schedule can be found on Teams. Should you have trouble finding it, please contact Kristjan or Mary-Ann.

The chapters can be found on the course Teams. If you wish to choose a chapter that hasn't been suggested or would like to read it before deciding, please contact us and we will upload it. Please use the pdf's strictly for your own educational purposes, NO SHARING!

NB. All feedback forms and tests can be found on Teams. Should you have trouble finding them, please contact Kristjan or Mary-Ann.

07.02 Week 0: Kick-off seminar
Introduction, organization of the seminar, questions.


14.02 Week 1:


21.02 Week 2: CHAPTER TWO Neurons and Glia


28.02 Week 3: CHAPTER FOUR The Action Potential


07.03 Week 4: CHAPTER FIVE Five Synaptic Transmission


14.03 Week 5: CHAPTER SIX Neurotransmitter Systems


21.03 Week 6: CHAPTER SEVEN The Structure of the Nervous System


28.03 Week 7: CHAPTER FIFTEEN Chemical Control of the Brain and Behavior


04.04 Week 8: CHAPTER SIXTEEN Motivation


11.04 Week 9: CHAPTER EIGHTEEN Brain Mechanisms of Emotion


18.04 Week 10: CHAPTER NINETEEN Brain Rhythms and Sleep



25.04 Week 11: CHAPTER TWENTY-ONE The Resting Brain, Attention, and Consciousness
feedback ---- test


02.05 Week 12: CHAPTER TWENTY-TWO Mental Illness
feedback ---- test


09.05 Week 13: CHAPTER TWENTY-THREE Wiring the Brain


16.05 Week 14: CHAPTER TWENTY-FOUR Memory Systems
feedback ---- test


23.05 Week 15: CHAPTER TWENTY-FIVE Molecular Mechanisms of Learning and Memory

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