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Potential and efficiency of statistical learning closely intertwined with individuals’ executive functions: A mathematical modeling study

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Jeon,  Hyeon-Ae
Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Republic of Korea;
Convergence Research Advanced Center for Olfaction, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Republic of Korea;
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Park, J., Yoon, H.-D., Yoo, T., Shin, M., & Jeon, H.-A. (2020). Potential and efficiency of statistical learning closely intertwined with individuals’ executive functions: A mathematical modeling study. Scientific Reports, 10(1): 18843. doi:10.1038/s41598-020-75157-8.


Cite as: http://hdl.handle.net/21.11116/0000-0007-894B-B
Abstract
Statistical learning (SL) is essential in enabling humans to extract probabilistic regularities from the world. The ability to accomplish ultimate learning performance with training (i.e., the potential of learning) has been known to be dissociated with performance improvement per amount of learning time (i.e., the efficiency of learning). Here, we quantified the potential and efficiency of SL separately through mathematical modeling and scrutinized how they were affected by various executive functions. Our results showed that a high potential of SL was associated with poor inhibition and good visuo-spatial working memory, whereas high efficiency of SL was closely related to good inhibition and good set-shifting. We unveiled the distinct characteristics of SL in relation to potential and efficiency and their interaction with executive functions.