This course explores the neural foundations of social cognition in natural contexts. Highly controlled lab experiments fail to capture and model the complexity of social interaction in the real world. Recent advances in artificial neural networks provide an alternative computational framework to model cognition in natural contexts. In contrast to the simplified and interpretable hypotheses we test in the lab, these models do not learn simple, human-interpretable rules or representations of the world.