ePoster · Machine Learning
Disentangled multi-subject and social behavioral representations through a constrained subspace variational autoencoder (CS-VAE)
Daiyao Yi · Neuromatch 5
Wed, Sep 28, 2022
Effectively modeling and quantifying behavior is essential for our understanding of the brain. Modeling behavior in naturalistic settings in social and multi-subject tasks in a unified manner remains a significant challenge. Modeling the behavior of different subjects performing the same task requires partitioning the behavioral data into features that are common across subjects, and others that are distinct to each subject. Modeling social interactions between multiple individuals in a freely-moving setting requires disentangling effects due to the individual as compared to social investigati