The Neuroscience of Implicit Learning

Over the past decades, research employing artificial grammar, sequence learning, and statistical learning paradigms has flourished, not least because these methods appear to offer a window, albeit with a restricted view, on implicit learning processes underlying natural language learning. But these...

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Bibliographic Details
Published inLanguage learning Vol. 70; no. S2; pp. 255 - 307
Main Author Williams, John N.
Format Journal Article
LanguageEnglish
Published Wiley-Blackwell 01.06.2020
Subjects
artificial grammar learning
Brain Hemisphere Functions
fMRI
Grammar
Learning Processes
Natural Language Processing
sequence learning
Sequential Learning
serial reaction time task
statistical learning
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Summary:Over the past decades, research employing artificial grammar, sequence learning, and statistical learning paradigms has flourished, not least because these methods appear to offer a window, albeit with a restricted view, on implicit learning processes underlying natural language learning. But these paradigms usually provide relatively little exposure, use meaningless stimuli, and do not even necessarily target natural language structures. So the question arises whether they engage the same brain regions as natural language. The aim of this review is to use data from brain imaging, brain stimulation, and the effects of brain damage to identify the main brain regions that show sensitivity to structural regularities in implicit learning paradigms and to consider their relationship to natural language processing and learning.
Bibliography:The author wishes to thank the anonymous reviewers and Guillaume Thierry for their very helpful suggestions and comments.
ISSN:0023-8333
1467-9922
DOI:10.1111/lang.12405