ACN/HCS 6328 Intro to Computational Neuroscience

1. Overview slides | reading 1 | reading 2 | reading 3
2. Vocabulary slides
Primer on probability theory slides
3. Bayesian inference slides | code | reading
4. Model-free reinforcement learning slides | code | reading
5. Model-based reinforcement learning slides | code | reading
Primer on linear algebra slides
6. Neural coding slides | code | reading
7. Representational geometry slides | code | reading
8. Neural dimensionality slides | code | reading
Primer on calculus
9. Synaptic plasticity
10. Feedforward neural networks
11. Recurrent neural networks
Recap and miscellaneous topics
12. Student-led paper discussions