Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.

ABSTRACT: Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by "model-free" learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by "model-based" learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-ba

SUBMITTER: Doll BB 

PROVIDER: S-EPMC4728725 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature