The Brunton Lab is broadly interested at the intersection of brain, behavior, and data---how can we best leverage data-intensive approaches to help us make sense of our minds? We bridge the gap between experimental neuroscience data and computational modeling techniques. Projects in the lab span the space between methods development to data-driven modeling, using model organisms from invertebrates to rodents to primates, including humans.
A few particular research areas we are excited about:
Data-driven dynamic models of large-scale neural data.
Neural computations underlying long-term, naturalistic behavior.
Neural-inspired sparse sensing and control for biological and engineered systems.