Kwangsun Yoo
Affiliations: | Yale University, New Haven, CT |
Area:
computational cognitive neuroscienceGoogle:
"Kwangsun Yoo"Mean distance: (not calculated yet)
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Publications
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Jones HM, Yoo K, Chun MM, et al. (2024) Edge-based general linear models capture moment-to-moment fluctuations in attention. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Jones HM, Yoo K, Chun MM, et al. (2023) Edge-based general linear models capture high-frequency fluctuations in attention. Biorxiv : the Preprint Server For Biology |
Kardan O, Stier AJ, Cardenas-Iniguez C, et al. (2022) Differences in the functional brain architecture of sustained attention and working memory in youth and adults. Plos Biology. 20: e3001938 |
Corriveau A, Yoo K, Kwon YH, et al. (2022) Functional connectome stability and optimality are markers of cognitive performance. Cerebral Cortex (New York, N.Y. : 1991) |
Yoo K, Rosenberg MD, Kwon YH, et al. (2022) A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. Neuroimage. 119279 |
Yoo K, Rosenberg MD, Kwon YH, et al. (2022) A brain-based general measure of attention. Nature Human Behaviour |
Chung J, Lee P, Lee YB, et al. (2022) Nonuniformity of Whole-Cerebral Neural Resource Allocation, a Neuromarker of the Broad-Task Attention. Eneuro. 9 |
Kwon YH, Yoo K, Nguyen H, et al. (2021) Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study. Proceedings of the National Academy of Sciences of the United States of America. 118 |
Lin Q, Yoo K, Shen X, et al. (2021) Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory. Journal of Cognitive Neuroscience. 1-18 |
Stark GF, Avery EW, Rosenberg MD, et al. (2021) Using functional connectivity models to characterize relationships between working and episodic memory. Brain and Behavior. e02105 |