Reverse engineering visual intelligence - James DiCarlo

James DiCarlo research goal is a computational understanding of the brain mechanisms that underlie primate visual intelligence. He aims to use this model-based understanding to inspire and develop new machine vision approaches, new neural prosthetics (brain-machine interfaces) to restore or augment lost senses, and a new foundation from which to attack human conditions such as agnosia, dyslexia, and autism. In this talk Dr. DiCarlo will tell the story of how the brain sciences and computer sciences converged to create artificial deep neural networks that can support tasks.