Age-dependent and coordinated shift in performance between implicit and explicit skill learning

It has been reported recently that while general sequence learning across ages conforms to the typical inverted-U shape pattern, with best performance in early adulthood, surprisingly, the basic ability of picking up in an implicit manner triplets that occur with high vs. low probability in the sequ...

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Main Authors: Dezso eNemeth, Karolina eJanacsek, Jozsef eFiser
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00147/full
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author Dezso eNemeth
Karolina eJanacsek
Jozsef eFiser
author_facet Dezso eNemeth
Karolina eJanacsek
Jozsef eFiser
author_sort Dezso eNemeth
collection DOAJ
description It has been reported recently that while general sequence learning across ages conforms to the typical inverted-U shape pattern, with best performance in early adulthood, surprisingly, the basic ability of picking up in an implicit manner triplets that occur with high vs. low probability in the sequence is best before 12 years of age and it significantly weakens afterwards. Based on these findings, it has been hypothesized that the cognitively controlled processes coming online at around 12 are useful for more targeted explicit learning at the cost of becoming relatively less sensitive to raw probabilities of events. To test this hypothesis, we collected data in a sequence learning task using probabilistic sequences in five age groups from 11 to 39 years of age (N=288), replicating the original implicit learning paradigm in an explicit task setting where subjects were guided to find repeating sequences. We found that in contrast to the implicit results, performance with the high- vs. low-probability triplets was at the same level in all age groups when subjects sought patterns in the sequence explicitly. Importantly, measurements of explicit knowledge about the identity of the sequences revealed a significant increase in ability to explicitly access the true sequences exactly around the age where the earlier study found the significant drop in ability to learn implicitly raw probabilities. These findings support the conjecture that the gradually increasing involvement of more complex internal models optimizes our skill learning abilities by compensating for the performance loss due to down-weighting the raw probabilities of the sensory input, while expanding our ability to acquire more sophisticated skills.
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spelling doaj.art-944481f8051c43b4b55eb06fcc1cb1682022-12-21T19:02:06ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882013-10-01710.3389/fncom.2013.0014753196Age-dependent and coordinated shift in performance between implicit and explicit skill learningDezso eNemeth0Karolina eJanacsek1Jozsef eFiser2Eötvös Loránd UniversityEötvös Loránd UniversityCentral European UniversityIt has been reported recently that while general sequence learning across ages conforms to the typical inverted-U shape pattern, with best performance in early adulthood, surprisingly, the basic ability of picking up in an implicit manner triplets that occur with high vs. low probability in the sequence is best before 12 years of age and it significantly weakens afterwards. Based on these findings, it has been hypothesized that the cognitively controlled processes coming online at around 12 are useful for more targeted explicit learning at the cost of becoming relatively less sensitive to raw probabilities of events. To test this hypothesis, we collected data in a sequence learning task using probabilistic sequences in five age groups from 11 to 39 years of age (N=288), replicating the original implicit learning paradigm in an explicit task setting where subjects were guided to find repeating sequences. We found that in contrast to the implicit results, performance with the high- vs. low-probability triplets was at the same level in all age groups when subjects sought patterns in the sequence explicitly. Importantly, measurements of explicit knowledge about the identity of the sequences revealed a significant increase in ability to explicitly access the true sequences exactly around the age where the earlier study found the significant drop in ability to learn implicitly raw probabilities. These findings support the conjecture that the gradually increasing involvement of more complex internal models optimizes our skill learning abilities by compensating for the performance loss due to down-weighting the raw probabilities of the sensory input, while expanding our ability to acquire more sophisticated skills.http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00147/fulldevelopmentassociative learningmodel-based learningprobabilistic sequence learningmodel-free learning
spellingShingle Dezso eNemeth
Karolina eJanacsek
Jozsef eFiser
Age-dependent and coordinated shift in performance between implicit and explicit skill learning
Frontiers in Computational Neuroscience
development
associative learning
model-based learning
probabilistic sequence learning
model-free learning
title Age-dependent and coordinated shift in performance between implicit and explicit skill learning
title_full Age-dependent and coordinated shift in performance between implicit and explicit skill learning
title_fullStr Age-dependent and coordinated shift in performance between implicit and explicit skill learning
title_full_unstemmed Age-dependent and coordinated shift in performance between implicit and explicit skill learning
title_short Age-dependent and coordinated shift in performance between implicit and explicit skill learning
title_sort age dependent and coordinated shift in performance between implicit and explicit skill learning
topic development
associative learning
model-based learning
probabilistic sequence learning
model-free learning
url http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00147/full
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AT karolinaejanacsek agedependentandcoordinatedshiftinperformancebetweenimplicitandexplicitskilllearning
AT jozsefefiser agedependentandcoordinatedshiftinperformancebetweenimplicitandexplicitskilllearning