Description
How does the brain support adaptive decision making in the real world? Traditional approaches to answering this central question in cognitive science/cognitive neuroscience distill the complexity of the real world into highly controlled experiments that allow the comparison of a small set of hypotheses, often expressed as computational models. While this has shed light on different facets of decision making in isolation, it fails to capture many aspects of real-world decision making that only emerge in naturalistic environments.
My primary research focus is to address this gap by recording human behavior and brain activity in video games, which capture many aspects of real-world decision making, and using those data to compare and refine computational models of naturalistic decision making based on state-of-the-art AI systems.
