Dissociating hippocampal and striatal contributions to sequential prediction learning.

ABSTRACT: Behavior may be generated on the basis of many different kinds of learned contingencies. For instance, responses could be guided by the direct association between a stimulus and response, or by sequential stimulus-stimulus relationships (as in model-based reinforcement learning or goal-directed actions). However, the neural architecture underlying sequential predictive learning is not well understood, in part because it is difficult to isolate its effect on choice behavior. To track such learning more directly, we examined reaction times (RTs) in a probabilistic sequential picture identification task in healthy individuals. We used computational learning models to isolate trial-by-trial effects of two distinct learning processes in behavior, and used these as signatures to analyse the sepa

SUBMITTER: Bornstein AM 

PROVIDER: S-EPMC3325519 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature