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HERO ID
7107692
Reference Type
Journal Article
Subtype
Review
Title
Statistical Learning Research: A Critical Review and Possible New Directions
Author(s)
Frost, Ram; Armstrong, BC; Christiansen, MH; ,
Year
2019
Is Peer Reviewed?
1
Journal
Psychological Bulletin
ISSN:
0033-2909
Publisher
AMER PSYCHOLOGICAL ASSOC
Location
WASHINGTON
Volume
145
Issue
12
Page Numbers
1128-1153
Language
English
PMID
31580089
DOI
10.1037/bul0000210
Web of Science Id
WOS:000496714400002
Abstract
Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive functions and is taken to be an important building block of virtually all current theories of information processing. In the last 2 decades, a large and continuously growing research community has therefore focused on the ability to extract embedded patterns of regularity in time and space. This work has mostly focused on transitional probabilities, in vision, audition, by newborns, children, adults, in normal developing and clinical populations. Here we appraise this research approach and we critically assess what it has achieved. what it has not, and why it is so. We then center on present SL research to examine whether it has adopted novel perspectives. These discussions lead us to outline possible blueprints for a novel research agenda.
Keywords
statistical learning; distributional properties; information processing; language; memory
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