Our lab leverages deep learning and computer vision to study complex biological systems by building novel computational tools. Our core research areas of interest include:
We are interested in exploring how artificial neural networks (ANNs) can be used as models of biological neural circuits. To do this, we combine agent-based modeling with imitation learning to take advantage of motion capture data to constrain our models. This work aims to improve our understanding of both brains and ANNs.
See Publications for a list of recent published works from the lab.