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Why AI and Neuroscience Need Each Other - Where is this all going?
Marvin Chun, PhD
Marvin M. Chun is the Richard M. Colgate Professor of Psychology at Yale University, with secondary appointments in the Cognitive Science Program and the Yale School of Medicine Department of Neuroscience. From 2017-2022, he served as Dean of Yale College. Professor Chun received his B.A. in Psychology from Yonsei University (South Korea), Ph.D. in Brain and Cognitive Sciences from the Massachusetts Institute of Technology, and his postdoctoral training at Harvard University. His research has been honored with a Troland Award from the US National Academy of Sciences, an early-career award from the American Psychological Association, and a Ho-Am Science Prize from Samsung (South Korea). His teaching has been recognized with both the Lex Hixon ’63 Prize for Teaching Excellence in the Social Sciences and the Phi Beta Kappa William Clyde DeVane Medal for Distinguished Scholarship and Teaching in Yale College.
Credit
CE:1.0
Description
Brain imaging allows neuroscientists to decode the human mind and to predict individual performance or dysfunction in a variety of domains such as attention and memory. Personalized brain analyses are significantly enhanced by machine learning (artificial intelligence), and in turn, brain computation and cognition can advance the capabilities of artificial intelligence. The marriage of brain science and artificial intelligence will make both more useful for improving people’s lives.
As a result of attending this workshop, participants will be able to:
1. Explain advances in functional brain imaging and artificial intelligence.
As a result of attending this workshop, participants will be able to:
1. Explain advances in functional brain imaging and artificial intelligence.
2. Apply brain imaging and AI to predict individual behavior and dysfunction.
3. Assess the potential and limitations of brain imaging and AI.