Original paper
Belief state representation in the dopamine system
Abstract
Learning to predict future outcomes is critical for driving appropriate behaviors. Reinforcement learning (RL) models have successfully accounted for such learning, relying on reward prediction errors (RPEs) signaled by midbrain dopamine neurons. It has been proposed that when sensory data provide only ambiguous information about which state an animal is in, it can predict reward based on a set of probabilities assigned to hypothetical states...
Paper Details
Title
Belief state representation in the dopamine system
Published Date
May 8, 2018
Journal
Volume
9
Issue
1