Ontology highlight
ABSTRACT:
SUBMITTER: Li Y
PROVIDER: S-EPMC3801012 | biostudies-literature | 2013 Oct
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20130930 42
Animals learn both whether and when a reward will occur. Neural models of timing posit that animals learn the mean time until reward perturbed by a fixed relative uncertainty. Nonetheless, animals can learn to perform actions for reward even in highly variable natural environments. Optimal inference in the presence of variable information requires probabilistic models, yet it is unclear whether animals can infer such models for reward timing. Here, we develop a behavioral paradigm in which optim ...[more]