Princeton University Machine Learning in Physics

For the past decade, my group has worked on supervised and unsupervised algorithms that take video data of behaving animals as inputs and discover stereotyped dynamics in the motion of body parts. We have used these techniques to study the patterns of behavior over an animal’s lifespan, how the brain specifies which behavior to actuate, social behaviors in pairs of animals, and the effect of neurological disorders on behavior and social interactions. I will briefly discuss the types of algorithms we use and then go through a variety of results from different experimental systems including worms, fruit flies, bumblebees, mice, and fish.