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Gi-Yeul Bae is an assistant professor in the Department of Psychology at Arizona State University. Bae earned a doctorate at Johns Hopkins University and completed a postdoctoral research fellow at the University of California, Davis. During his doctoral and postdoctoral training, Bae has developed an EEG-based decoding method that can be used to track visual information stored in the brain with high temporal resolution. He also developed a computational model that demonstrates combined influence of categorical and metric information to high-level visual representations. In the lab, Bae investigates how the brain creates/maintains visual representation of the world and use them to achieve given task goals in an efficient and useful manner.
Bae, G.Y. & Luck, S.J. (2019). Reactivation of previous experiences in a working memory task. Psychological Science, 30, 587-595.
Bae, G.Y. & Luck, S.J. (2019). Decoding motion direction using the topography of sustained ERPs and alpha oscillations. NeuroImage, 184, 242-255.
Bae, G.Y. & Luck, S.J. (2018). What happens to visual working memory when it is interrupted? British Journal of Psychology, 110, 268-287. [published in Special Issue on Visual Working Memory]
Bae, G.Y. & Luck, S.J. (2018). Dissociable decoding of spatial attention and working memory from EEG oscillations and sustained potentials. The Journal of Neuroscience, 38, 409-422.
Bae, G.Y. & Luck, S.J. (2017). Interactions between visual working memory representations. Attention, Perception, & Psychophysics, 79, 2376-2395.
Bae, G.Y., Olkkonen, M., Allred, S., & Flombaum, J. (2015). Why some colors appear more memorable than others: A model combining categories and particulars in color working memory. Journal of Experimental Psychology: General, 144, 744-763.