Social Visual Representations in Humans and Machines

Social Visual Representations in Humans and Machines

Explore the fascinating world of social visual representations in humans and machines in this 27-minute lecture by Leyla Isik from Johns Hopkins University. Delve into neural face representations, disentangled representation learning, and the perception of social interactions in natural vision. Examine the encoding model performance, voxel preference, and variance partitioning in social vision research. Gain insights into the unique variance explained by sensory features, social features, and social interactions, as well as the role of the posterior superior temporal sulcus (pSTS) in perceiving social interactions.