My lab studies the neural computations that generate intelligent, goal-directed behavior. Using mathematical models, behavioral experiments, and neural recordings, we try to uncover how our memory systems build internal models of the world, and how we use these representations to simulate the future when making a decision. We draw heavily from the fields of Artificial Intelligence and Computational Neuroscience, particularly the area of Model-Based Reinforcement Learning.