Disentangling latent representations of behavior from 3D pose
Joshua Wu, Hari Koneru, James Ravenel, Anshuman Sabath, James Roach, Shaun Lim, Michael Tadross, Alex Williams, Timothy Dunn · COSYNE 2025
The ability to recognize and interpret shifts in naturalistic behavioral expression across neural (dys)function is critical to systems neuroscience study. Recent developments in computer vision have enabled continuous measurements of 3D keypoints on freely moving animals. Common analysis objectives seek to cluster these time series into recurring and stereotyped behaviors (e.g., running or rearing) and compare their frequencies across experimental conditions. Currently, most behavioral analysis approaches are purely unsupervised and can be sensitive to nuisance variability, such as an animal's
ePoster · Neuroscience