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

Title
Potential and efficiency of statistical learning closely intertwined with individuals' executive functions: a mathematical modeling study
Authors
Park, JungtakYoon, Hee-DongYoo, TaehyunShin, MinhoJeon, Hyeon-Ae
DGIST Authors
Park, Jungtak; Yoon, Hee-Dong; Yoo, Taehyun; Shin, Minho; Jeon, Hyeon-Ae
Issue Date
2020-11
Citation
Scientific Reports, 10(1), 18843
Type
Article
Article Type
Article
Keywords
ACCURACY TRADE-OFFSHORT-TERM-MEMORYWORKING-MEMORYREACTION-TIMELONG-TERMIMPLICITSPEEDTASKAUTOMATICITYACQUISITION
ISSN
2045-2322
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. © 2020, The Author(s).
URI
http://hdl.handle.net/20.500.11750/12453
DOI
10.1038/s41598-020-75157-8
Publisher
Nature Research
Related Researcher
  • Author Jeon, Hyeon-Ae Laboratory of Cognitive Neuroscience
  • Research Interests fMRI, high-level cognition, brain imaging
Files:
Collection:
Department of Brain and Cognitive SciencesLaboratory of Cognitive Neuroscience1. Journal Articles


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