Deep Nets and the Primate Visual System (UC Berkeley)

Submitted by the Event Organizer

Speaker: Anil Ananthaswamy (Simons Institute, moderator)
Panelists: James DiCarlo (MIT), Grace Lindsay (University College London), Jitendra Malik (UC Berkeley), and Santosh Vempala (Georgia Tech)
The primate visual cortex is one of the best studied parts of the primate brain. Insights gained from studies of biological vision led to great advances in AI, particularly in the development of convolutional neural networks for image recognition. Now, such artificial neural networks are repaying their debt to neuroscience. Computational models built using deep neural networks are beginning to illuminate the workings of the primate visual system. This panel, comprised of experts in the field, will discuss and debate the strengths and limitations of using deep net-based models to understand biological vision. (All speakers will be presenting remotely)

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