Rapid unsupervised alignment with the natural image manifold  Abstract:There is a stark contrast between the nature of feature learning in biological and artificial vision. While brains learn without explicit supervision and with little data, deep neural networks require supervised feedback and massive training sets. Here we show that a surprisingly simple unsupervised learning algorithm can […]

This talk is rescheduled from April 18 to April 25. Neural computations underlying human social evaluations from visual stimuli Abstract: Humans easily make social evaluations from visual scenes, but the computational mechanisms in the brain that support this ability remain unknown. Here, we test two hypotheses raised by prior work: one proposes that people recognize […]

This talk is rescheduled from April 11 to April 18. High-dimensional structure underlying individual differences in naturalistic visual experience.