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The Neuroscience of Implicit Learning

Bibliographic Data

ID4767652
AuthorsJohn N Williams (0000-0002-5473-5382, University of Cambridge, corresponding author)
Year2020
Volume70
IssueS2
Pages255-307
Publication date2020-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage Learning (JOURNAL)
Journal identifiersISSN: 0023-8333 • E-ISSN: 1467-9922
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lang.12405
OpenAlexW3035661672
LanguageEN
Citations received9
References cited147

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

Cognition · Cognitive psychology · Cognitive science · Grammar · Implicit Learning · Language acquisition · Linguistics · Natural (archaeology) · Natural language · Sequence learning · Action Observation and Synchronization · Artificial Intelligence · Computer Science · Neurobiology of Language and Bilingualism · Neuroscience · Psychology · Reading and Literacy Development

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Unique citing works9
Citations per year1,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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