Neural Computation lectures

This semester (Fall 2024), I’m TAing a graduate course called Neural Computation, taught by Bruno Olshausen. Inspired by Ben Recht’s lecture posts, I will try 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