Collaborators: Chenguang Li, Jonah Brenner, and Adam Boesky
This project explores a variation of the predictive coding (PC) model's capacity to:
- Adapt to a changing reward landscapes.
- Learn association.
This project was done as part of Harvard's APPHY 286 - Inference, Information Theory, Learning and Statistical Mechanics course taught by Sharad Ramanthan.
The following is a breakdown of our repository and its contents:
