@article{8736183,
  abstract     = {{Over the last two decades statistical learning (SL) has evolved into a key explanatory
mechanism underlying the incidental learning of regularities across different domains
of cognition, such as language, visual and auditory perception, and memory. Yet, SL
has mainly been investigated as an independent research area, separated from the
primary study of the relevant cognitive domains. The aim of this special issue is to
foster a bilateral integration of SL research with cognitive science: not only should
domain-relevant evidence about the complexity of real-world input become more
tightly integrated into SL research, but non-SL studies should also consider more
carefully the nature and range of statistical regularities that may affect learning and
processing in a given domain. Four papers on reading in this volume demonstrate that
such integration can lead to a better understanding of reading, while also revealing the
complexity and abundance of different statistical patterns present in printed text.
Moving beyond disciplinary boundaries has the promise to broaden the focus of SL
research beyond simple artificial patterns, to examine the rich and subtle intricacies of
real-world cognition. A final paper on the neurobiological underpinnings of SL and
the consolidation of learned statistical regularities further illustrates what might be
gained from a better integration of SL and memory research. We conclude by
discussing possible directions for taking forward an integrative approach to SL.}},
  articleno    = {{104167}},
  author       = {{Bogaerts, Louisa and Frost, Ram and Christiansen, Morten H.}},
  issn         = {{0749-596X}},
  journal      = {{JOURNAL OF MEMORY AND LANGUAGE}},
  keywords     = {{statistical learning,cognition,reading,memory,neuroscience,READING ACQUISITION,WORD RECOGNITION,REGULARITIES,COMPETITION,SYSTEMS,ABILITY}},
  language     = {{eng}},
  pages        = {{5}},
  title        = {{Integrating statistical learning into cognitive science}},
  url          = {{http://doi.org/10.1016/j.jml.2020.104167}},
  volume       = {{115}},
  year         = {{2020}},
}

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