How do our brains make decisions?

How do our brains learn from their outcomes?

Our lab seeks mechanistic answers to such questions at the behavioral, computational, and neural systems levels. Our research is multi-disciplinary, lying at the intersection between Psychology, Neuroscience, Artificial Intelligence, and Behavioral Economics.

We investigate how the human brain forms and tunes predictive models of the environment, and how it leverages these models to make decisions and perform inferences. The prediction problems we study span reward prediction (e.g. money, foods, etc.), social prediction (e.g. other people’s intentions, traits, etc.), and “state” prediction (e.g. perceptually signaled contexts, inferred latent contexts). 

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