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Is there such a thing as a ‘good statistical learner’?

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Abstract
A growing body of research investigates individual differences in the learning of statistical structure, tying them to variability in cognitive (dis)abilities. This approach views statistical learning (SL) as a general individual ability that underlies performance across a range of cognitive domains. But is there a general SL capacity that can sort individuals from 'bad' to 'good' statistical learners? Explicating the suppositions underlying this approach, we suggest that current evidence supporting it is meager. We outline an alternative perspective that considers the variability of statistical environments within different cognitive domains. Once we focus on learning that is tuned to the statistics of real-world sensory inputs, an alternative view of SL computations emerges with a radically different outlook for SL research.
Keywords
Cognitive Neuroscience, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, READING-ABILITY, CHILDREN, MODEL, FREQUENCY, KNOWLEDGE, IMPLICIT, IDENTIFICATION, DIFFICULTIES, RECOGNITION, SEQUENCES

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Citation

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MLA
Bogaerts, Louisa, et al. “Is There Such a Thing as a ‘Good Statistical Learner’?” TRENDS IN COGNITIVE SCIENCES, vol. 26, no. 1, 2022, pp. 25–37, doi:10.1016/j.tics.2021.10.012.
APA
Bogaerts, L., Siegelman, N., Christiansen, M. H., & Frost, R. (2022). Is there such a thing as a “good statistical learner”? TRENDS IN COGNITIVE SCIENCES, 26(1), 25–37. https://doi.org/10.1016/j.tics.2021.10.012
Chicago author-date
Bogaerts, Louisa, Noam Siegelman, Morten H. Christiansen, and Ram Frost. 2022. “Is There Such a Thing as a ‘Good Statistical Learner’?” TRENDS IN COGNITIVE SCIENCES 26 (1): 25–37. https://doi.org/10.1016/j.tics.2021.10.012.
Chicago author-date (all authors)
Bogaerts, Louisa, Noam Siegelman, Morten H. Christiansen, and Ram Frost. 2022. “Is There Such a Thing as a ‘Good Statistical Learner’?” TRENDS IN COGNITIVE SCIENCES 26 (1): 25–37. doi:10.1016/j.tics.2021.10.012.
Vancouver
1.
Bogaerts L, Siegelman N, Christiansen MH, Frost R. Is there such a thing as a “good statistical learner”? TRENDS IN COGNITIVE SCIENCES. 2022;26(1):25–37.
IEEE
[1]
L. Bogaerts, N. Siegelman, M. H. Christiansen, and R. Frost, “Is there such a thing as a ‘good statistical learner’?,” TRENDS IN COGNITIVE SCIENCES, vol. 26, no. 1, pp. 25–37, 2022.
@article{8736191,
  abstract     = {{A growing body of research investigates individual differences in the learning of statistical structure, tying them to variability in cognitive (dis)abilities. This approach views statistical learning (SL) as a general individual ability that underlies performance across a range of cognitive domains. But is there a general SL capacity that can sort individuals from 'bad' to 'good' statistical learners? Explicating the suppositions underlying this approach, we suggest that current evidence supporting it is meager. We outline an alternative perspective that considers the variability of statistical environments within different cognitive domains. Once we focus on learning that is tuned to the statistics of real-world sensory inputs, an alternative view of SL computations emerges with a radically different outlook for SL research.}},
  author       = {{Bogaerts, Louisa and Siegelman, Noam and Christiansen, Morten H. and Frost, Ram}},
  issn         = {{1364-6613}},
  journal      = {{TRENDS IN COGNITIVE SCIENCES}},
  keywords     = {{Cognitive Neuroscience,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology,READING-ABILITY,CHILDREN,MODEL,FREQUENCY,KNOWLEDGE,IMPLICIT,IDENTIFICATION,DIFFICULTIES,RECOGNITION,SEQUENCES}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{25--37}},
  title        = {{Is there such a thing as a ‘good statistical learner’?}},
  url          = {{http://dx.doi.org/10.1016/j.tics.2021.10.012}},
  volume       = {{26}},
  year         = {{2022}},
}

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