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. We also test many neural network accelerators and neuromorphic platforms in the NERL Lab
Neuroinformatics and Data Analytics - Creating approaches to consolidate, analyze and interpret "big data" from experimental and computational neuroscience efforts
Human Performance Laboratory - Exploring human neural dynamics using techniques including EEG, eye tracking, and tDCS