Divided attention does not affect the acquisition and consolidation of transitional probabilities

Abstract Statistical learning facilitates the efficient processing and prediction of environmental events and contributes to the acquisition of automatic behaviors. Whereas a minimal level of attention seems to be required for learning to occur, it is still unclear how acquisition and consolidation...

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Autores principales: Kata Horváth, Csenge Török, Orsolya Pesthy, Dezso Nemeth, Karolina Janacsek
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/cdf50b7acdc943928ac6d633461bccd9
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spelling oai:doaj.org-article:cdf50b7acdc943928ac6d633461bccd92021-12-02T15:12:41ZDivided attention does not affect the acquisition and consolidation of transitional probabilities10.1038/s41598-020-79232-y2045-2322https://doaj.org/article/cdf50b7acdc943928ac6d633461bccd92020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79232-yhttps://doaj.org/toc/2045-2322Abstract Statistical learning facilitates the efficient processing and prediction of environmental events and contributes to the acquisition of automatic behaviors. Whereas a minimal level of attention seems to be required for learning to occur, it is still unclear how acquisition and consolidation of statistical knowledge are affected when attention is divided during learning. To test the effect of divided attention on statistical learning and consolidation, ninety-six healthy young adults performed the Alternating Serial Reaction Time task in which they incidentally acquired second-order transitional probabilities. Half of the participants completed the task with a concurrent secondary intentional sequence learning task that was applied to the same stimulus stream. The other half of the participants performed the task without any attention manipulation. Performance was retested after a 12-h post-learning offline period. Half of each group slept during the delay, while the other half had normal daily activity, enabling us to test the effect of delay activity (sleep vs. wake) on the consolidation of statistical knowledge. Divided attention had no effect on statistical learning: The acquisition of second-order transitional probabilities was comparable with and without the secondary task. Consolidation was neither affected by divided attention: Statistical knowledge was similarly retained over the 12-h delay, irrespective of the delay activity. Our findings can contribute to a better understanding of the role of attentional processes in and the robustness of visuomotor statistical learning and consolidation.Kata HorváthCsenge TörökOrsolya PesthyDezso NemethKarolina JanacsekNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kata Horváth
Csenge Török
Orsolya Pesthy
Dezso Nemeth
Karolina Janacsek
Divided attention does not affect the acquisition and consolidation of transitional probabilities
description Abstract Statistical learning facilitates the efficient processing and prediction of environmental events and contributes to the acquisition of automatic behaviors. Whereas a minimal level of attention seems to be required for learning to occur, it is still unclear how acquisition and consolidation of statistical knowledge are affected when attention is divided during learning. To test the effect of divided attention on statistical learning and consolidation, ninety-six healthy young adults performed the Alternating Serial Reaction Time task in which they incidentally acquired second-order transitional probabilities. Half of the participants completed the task with a concurrent secondary intentional sequence learning task that was applied to the same stimulus stream. The other half of the participants performed the task without any attention manipulation. Performance was retested after a 12-h post-learning offline period. Half of each group slept during the delay, while the other half had normal daily activity, enabling us to test the effect of delay activity (sleep vs. wake) on the consolidation of statistical knowledge. Divided attention had no effect on statistical learning: The acquisition of second-order transitional probabilities was comparable with and without the secondary task. Consolidation was neither affected by divided attention: Statistical knowledge was similarly retained over the 12-h delay, irrespective of the delay activity. Our findings can contribute to a better understanding of the role of attentional processes in and the robustness of visuomotor statistical learning and consolidation.
format article
author Kata Horváth
Csenge Török
Orsolya Pesthy
Dezso Nemeth
Karolina Janacsek
author_facet Kata Horváth
Csenge Török
Orsolya Pesthy
Dezso Nemeth
Karolina Janacsek
author_sort Kata Horváth
title Divided attention does not affect the acquisition and consolidation of transitional probabilities
title_short Divided attention does not affect the acquisition and consolidation of transitional probabilities
title_full Divided attention does not affect the acquisition and consolidation of transitional probabilities
title_fullStr Divided attention does not affect the acquisition and consolidation of transitional probabilities
title_full_unstemmed Divided attention does not affect the acquisition and consolidation of transitional probabilities
title_sort divided attention does not affect the acquisition and consolidation of transitional probabilities
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/cdf50b7acdc943928ac6d633461bccd9
work_keys_str_mv AT katahorvath dividedattentiondoesnotaffecttheacquisitionandconsolidationoftransitionalprobabilities
AT csengetorok dividedattentiondoesnotaffecttheacquisitionandconsolidationoftransitionalprobabilities
AT orsolyapesthy dividedattentiondoesnotaffecttheacquisitionandconsolidationoftransitionalprobabilities
AT dezsonemeth dividedattentiondoesnotaffecttheacquisitionandconsolidationoftransitionalprobabilities
AT karolinajanacsek dividedattentiondoesnotaffecttheacquisitionandconsolidationoftransitionalprobabilities
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