Empirical Vision Neuroscience for Next-Generation AI

Radoslaw Martin Cichy examines three contributions of empirical vision research to AI: visual representations developing from infancy to adulthood; feedforward and recurrent processing distinguished using layer-specific fMRI with EEG; and difficult object recognition recruiting cortex-wide recurrence. These findings test the limits of vision models inspired primarily by visual cortex.