Marvin Chun, PhD

The Cognitive / Computational Human Neuroscience (CHuN) Lab employs functional magnetic resonance imaging (fMRI) to study visual attention, memory, decision-making, perception, and performance. Their focus is using fMRI to decode brain activity in order to understand how people perceive, remember, and make decisions. For example, the lab can read out which faces participants are viewing in the scanner or determine whether they are attentive or distracted. Another goal is to use fMRI to measure individual differences in behavior. Can fMRI be used to predict how well someone will perform a task, even when they are not actively doing anything while being scanned?

behavioral testing ;  computational modeling ;  deep learning ;  functional magnetic resonance imaging ;  network analysis ;  neural networks ;  pattern classification ;  psychophysics  

artificial intelligence ;  attention ;  cognitive neuroscience ;  computational neuroscience ;  connectivity ;  predictive modeling ;  working memory ;  network neuroscience  

Marvin Chun received his BA in Psychology from Yonsei University, his PhD in Brain and Cognitive Sciences from the Massachusetts Institute of Technology, and completed postdoctoral training at Harvard University. At Yale, he is the Richard M. Colgate Professor of Psychology, with secondary appointments in the Department of Neuroscience at the Yale School of Medicine and the Cognitive Science Program in Yale College. His partner, Woo-kyoung Ahn, is also a Professor of Psychology at Yale.