Individual Differences in Neural Connectivity
Diffusion MRI allows us to explore white matter connectivity. Our work takes a network-based approach to predict differences in behavior and learning from an individual’s white matter connectome. We utilize measures of indirect connectivity such as communicability to ask how differences in underlying structure affect the communication between brain regions necessary in sequential motor learning.
Learning of Temporal Structure
How do we learn underlying relationships when viewing a serial stream of information? My research explores what types of higher-level information are informative in a probabilistic motor sequence task. In particular, we formulate the relationships between stimuli as a graph so that we can explore how changes to the underlying structure affect learnability of information.