Unifying error and reward action learning: a cerebello-basal ganglia theory
Michele Garibbo, Carolina Filipe, Laurence Aitchison, Rui Ponte Costa
This paper develops a computational framework that unifies reward-based and error-based learning by mapping them into a shared action-gradient space, linking them to brain systems like the basal ganglia and cerebellum.
bioRxiv · Aug 25, 2026 · PreprintNeuroscience