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What exactly is learned in visual statistical learning? Insights from Bayesian modeling
Cognition 192 (C):104002 (2019)
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Citations of this work
Statistically Induced Chunking Recall: A Memory‐Based Approach to Statistical Learning.Erin S. Isbilen, Stewart M. McCauley, Evan Kidd & Morten H. Christiansen - 2020 - Cognitive Science 44 (7):e12848.
When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task?Amit Elazar, Raquel G. Alhama, Louisa Bogaerts, Noam Siegelman, Cristina Baus & Ram Frost - 2022 - Cognitive Science 46 (2):e13102.
Exploring and Exploiting Uncertainty: Statistical Learning Ability Affects How We Learn to Process Language Along Multiple Dimensions of Experience.Dagmar Divjak & Petar Milin - 2020 - Cognitive Science 44 (5):e12835.
Assessing Visual Statistical Learning in Early-School-Aged Children: The Usefulness of an Online Reaction Time Measure.Merel van Witteloostuijn, Imme Lammertink, Paul Boersma, Frank Wijnen & Judith Rispens - 2019 - Frontiers in Psychology 10.
What Determines Visual Statistical Learning Performance? Insights From Information Theory.Noam Siegelman, Louisa Bogaerts & Ram Frost - 2019 - Cognitive Science 43 (12):e12803.
References found in this work
The Now-or-Never bottleneck: A fundamental constraint on language.Morten H. Christiansen & Nick Chater - 2016 - Behavioral and Brain Sciences 39:e62.
Implicit learning and statistical learning: One phenomenon, two approaches.Pierre Perruchet & Sebastien Pacton - 2006 - Trends in Cognitive Sciences 10 (5):233-238.
Modeling human performance in statistical word segmentation.Michael C. Frank, Sharon Goldwater, Thomas L. Griffiths & Joshua B. Tenenbaum - 2010 - Cognition 117 (2):107-125.
Fading out of the rule vs. no-rule.Pierre Perruchet & Sebastien Pacton - 2006 - Trends in Cognitive Sciences 10 (5):233-238.
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