Neural Computation lectures

In fall 2024 I TA’d a graduate course called Neural Computation, taught by Bruno Olshausen. I tried to write a short post every week or so with my annotations of that week’s lectures. Course content is on the website.

1. What is neural computation?

2. Why do we need a brain?

3. The brain as a statistician

4. The ear does not do a Fourier transform

5. Neural nonlinearities

6. Time versus rate

7. Whitening, three ways

8. Limits of linear learning

9. Some nonlinear learning

10. Ambient spaces

11. Stable states

12. Perception as visual inference

13. Microwaving a Hopfield network

14. Computing in high dimensions

15. Wrapping up Neural Computation