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7107692 
Journal Article 
Review 
Statistical Learning Research: A Critical Review and Possible New Directions 
Frost, Ram; Armstrong, BC; Christiansen, MH; , 
2019 
Psychological Bulletin
ISSN: 0033-2909 
AMER PSYCHOLOGICAL ASSOC 
WASHINGTON 
145 
12 
1128-1153 
English 
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. 
statistical learning; distributional properties; information processing; language; memory