Institute of Computer Science
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  2. 2021/22 fall
  3. Computational Neuroscience Seminar (MTAT.03.292)
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Computational Neuroscience Seminar 2021/22 fall

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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.

This semester we will discuss the topic of Continual Learning

07.09 Week 1 - Kick-off seminar
Introduction, organization of the seminar, questions.
presented by Oriol Corcoll

14.09 Week 2 - The psychology and neuroscience of forgetting
presented by Taavi Kivisik
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21.09 Week 3 - Rich and lazy learning of task representations in brains and neural networks
presented by Tarun Khajuria
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28.09 Week 4 - Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
presented by Robin Sulg


05.10 Week 5 - Comparing continual task learning in minds and machines
presented by Nikita Baliesnyi
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12.10 Week 6 - The Persistence and Transience of Memory
presented by Julius Laak
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19.10 Week 7 - Multi-task reinforcement learning in humans
presented by Mirjam Paales
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26.10 Week 8 -

  • Embracing Change: Continual Learning in Deep Neural Networks
    presented by Taavi Luik
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  • Memory semantization through perturbed and adversarial dreaming
    presented by Tetiana Rabiichuk
    feedback | test


02.11 Week 9 - Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
presented by Robin Sulg
feedback | test

09.11 Week 10 -

  • Overcoming catastrophic forgetting in neural networks
    presented by Marharyta Domnich
    feedback | test
  • Stably maintained dendritic spines are associated with lifelong memories
    presented by Marti Ingmar Liibert
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16.11 Week 11 -

  • Brain-inspired replay for continual learning with artificial neural networks
    presented by Agnes Luhtaru
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  • RMA: Rapid Motor Adaptation for Legged Robots
    presented by Indrek Pertman
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23.11 Week 12 -

  • Reinforcement learning and episodic memory in humans and animals: an integrative framework
    presented by Sander Sats
    feedback | test
  • CLIPort: What and Where Pathways for Robotic Manipulation
    presented by Rodion Krjutškov
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30.11 Week 13 -

  • Towards Continual Reinforcement Learning: A Review and Perspectives
    presented by Rasul Nabiyev
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  • The Cost of Structure Learning
    presented by Rodrigo Flores
    feedback | test

07.12 Week 14 - Emergent Tool Use from Multi-Agent Interaction
presented by Magnus Karlson
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14.12 Week 15 - Open-Ended Learning Leads to Generally Capable Agents (blog)
presented by Alfred Saidlo
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  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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