Bridging the gap between Minds & Machines

This talk explores how combining neural data from multiple brains with deep networks could benefit both neuroscience and AI. It presents approaches to mapping information across brains without shared observations and considers how collective neural information might guide new discoveries. The same perspective motivates alternative ways to train and interpret artificial networks.