Lecture: Computational Neuroscience - Learning
Here you can download the slides that were presented during the lectures (as Powerpoint):
- Part 1: Introduction (ppt or alternative ppt)
- Part 2: Hebb' learning (ppt)
- Part 3: Differential Hebb'/ ISO/ ICO/ ISO3 learning - open loop (ppt)
- Part 4: STDP (ppt)
- Part 5: ISO/ICO/ISO3 learning - closed loop (ppt)
- Part 6: Supervised learning (ppt)
- Part 8: Reinforcement learning (ppt)
For neuronal basics you can download two introductory files (not presented in detail during the lectures):
Introduction (ppt) and Basics (ppt)
Books:
Theoretical Neuroscience by P. Dayan and L. Abbott
Principles of Neuroscience by E. Kandel