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BI 075 Jim DiCarlo: Reverse Engineering Vision
Podcast |
Brain Inspired
Publisher |
Paul Middlebrooks
Media Type |
audio
Categories Via RSS |
Education
Natural Sciences
Science
Technology
Publication Date |
Jun 24, 2020
Episode Duration |
01:16:03

Jim and I discuss his reverse engineering approach to visual intelligence, using deep models optimized to perform object recognition tasks. We talk about the history of his work developing models to match the neural activity in the ventral visual stream, how deep learning connects with those models, and some of his recent work: adding recurrence to the models to account for more difficult object recognition, using unsupervised learning to account for plasticity in the visual stream, and controlling neural activity  by creating specific images for subjects to view.

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