Neural Theory - Formal characterization of information representations and metrics for assessing the computation of neural regions.
Modeling and Simulation - Developing software tools and methods for generating and deploying large-scale models of neural systems on conventional high-performance computing platforms and neural hardware systems.
Neural-inspired Computing - Designing new computing architectures and device materials to accelerate the deployment of neural-inspried algorithms into real-world applications
Neuroinformatics and Data Analytics - Creating approaches to consolidate, analyze and interpret "big data" from experimental and computational neuroscience efforts
Human Imaging - Applying numerous capabilities in human cognitive measurement, such as EEG, tDCS, and eye tracking, to characterize human performance in real world scenarios.