Michelle Dawson posts
Structured cited links
Louisa Bogaerts, Noam Siegelman, Morten H. Christiansen, Ram Frost (2022). Is there such a thing as a ‘good statistical learner’?. Trends in Cognitive Sciences, 26(1), 25-37. Elsevier BV.
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.
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