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Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?
(Cognitive Science, 2018)
From a theoretical perspective, most discussions of statistical learning (SL) have focused on
the possible “statistical” properties that are the object of learning. Much less attention has been
given to defining what ...
Is the Hebb repetition task a reliable measure of individual differences in sequence learning?
(QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2018)
The Hebb repetition task, an operationalization of long-term sequence learning through
repetition, is the focus of renewed interest, as it is taken to provide a laboratory analogue for
naturalistic vocabulary acquisition. ...
Linguistic entrenchment: Prior knowledge impacts statistical learning performance
(COGNITION, 2018)
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying statistical regularities in the input. Recent findings, however, show clear differences ...
What Determines Visual Statistical Learning Performance? Insights From Information Theory
(Cognitive Science. A Multidisciplinary Journal, 2019)
In order to extract the regularities underlying a continuous sensory input, the individual elements constituting the stream have to be encoded and their transitional probabilities (TPs) should be learned. This suggests ...
What exactly is learned in visual statistical learning? Insights from Bayesian modeling
(Cognition, 2019)
It is well documented that humans can extract patterns from continuous input through Statistical Learning (SL) mechanisms. The exact computations underlying this ability, however, remain unclear. One outstanding controversy ...
Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities
(Psychonomic Bulletin & Review, 2016)
What determines individuals’ efficacy in detecting
regularities in visual statistical learning? Our theoretical
starting point assumes that the variance in performance of
statistical learning (SL) can be split into the ...
Towards a theory of individual differences in statistical learning
(Philosophical Transactions of the Royal Society: Biological Sciences, 2017)
In recent years, statistical learning (SL) research has seen a growing interest in tracking individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review studies from this line of research ...
Measuring individual differences in statistical learning: Current pitfalls and possible solutions
(Behavior Research Methods, 2017)
Most research in statistical learning (SL) has focused
on the mean success rates of participants in detecting
statistical contingencies at a group level. In recent years, however,
researchers have shown increased interest ...
Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts
(Perspectives on Psychological Science, 2021)
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language
acquisition. Recent work has provided initial support for this view, tying individual differences in ...
When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task?
(WILEY, 2022)
How does prior linguistic knowledge modulate learning in verbal auditory statistical learning (SL) tasks? Here, we address this question by assessing to what extent the frequency of syllabic co-occurrences in the learners’ ...