Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity
Matthew Nassar
People learn from experience, but with considerable individual differences in the degree and type of behavioral adjustments resulting from a given experience. Error driven learning rules provide an elegant framework for explaining both learning behavior and its neural signatures; however, implementing them requires carving the world into so-called “latent states”, that serve as substrates for learning, meaning that the same learning algorithm can produce different sorts of learning given differe