Research focus

01   Representations that connect brain and behavior

We study neural patterns associated with what people see, feel, and do. Encoding and decoding models help us ask which features of an experience are reflected in brain activity, which are shared across tasks, and which depend on an individual's context.

02   Whole-brain dynamics

We investigate how interactions among brain regions change over time and how these changes relate to cognitive and affective states. Our interest spans distributed activity patterns, functional connectivity, and computational descriptions of coordinated brain function.

03   Naturalistic experience and individual differences

Movies, immersive environments, and active viewing provide rich settings for studying ongoing experience. We aim to connect fMRI and EEG with behavioral responses and gaze, examining both common neural organization and the ways people differ in their attention, interpretation, and emotion.

How we investigate

Our approach links experimental questions to representations at multiple scales: signals, regions, networks, and behavior. We combine neuroimaging analysis, machine learning, and computational modeling, and examine whether an interpretation holds across people and conditions. Predictive performance is one part of the assessment; the relationship between a model's features and the scientific question is equally central.

Across our research framework

This research provides the biological questions and neural representations that guide our brain foundation models. It also helps identify the brain states and network interactions to investigate through closed-loop experiments.

Neural encoding & decoding · Whole-brain dynamics · Naturalistic neuroscience · Individual differences