Publications

Bogaerts, L., Siegelman, N., & Frost, R. (2020). Statistical learning and language impairments: Towards more precise theoretical accounts. Perspectives on Psychological science, 16(2), 319-337. DOI: 10.1177/1745691620953082

2020

 

Bogaerts, L., Richter, C., & Landau, A.N., & Frost, R. (2020). Beta-band activity is a signature of statistical learning. Journal of Neuroscience, 40(39), 7523-7530. DOI: 10.1523/JNEUROSCI.0771-20.2020

Image by Pawel Czerwinski

In recent years, the importance of rythmic brain activity in cognitive processes has become increasingly evident. In this work we demonstrate that a learning brain sends out more beta waves during transitions between regular statistical patterns.

What do people learn when we expose them to visual patterns?

Interestingly, it looks like not everyone learns the same thing(s).

Using Bayesian modeling, we show that some individuals learn transitions whereas other learn the entire pattern units.

For the study of individual differences we need reliable measures. Somewhat counterintuitively, tasks that produce robust group findings at the group level are not always good tools to use at the level of the individual. 

Exam

Rey, A., Bogaerts, L., Franco, A., & Favre, B. (2020). Speech onset latencies as a window of regularity extraction within noise. Quarterly Journal of Experimental Psychology. DOI: 10.1080/17470218.2017.1307432

Bogaerts, L., Frost, R., & Christiansen, M. (2020). Integrating statistical learning into cognitive science. Journal of Memory and Language, 115, 1-5. DOI: 10.1016/j.jml.2020.104167

2019

Siegelman, N., Bogaerts, L., & Frost, R. (2019). What Determines Visual Statistical Learning Performance? Insights from Information Theory. Cognitive Science, 34(12). DOI: 10.1111/cogs.12803​

Pavlidou, E., & Bogaerts, L. (2019).  Implicit statistical learning across modalities and its relationship with reading in childhood. Frontiers in Psychology. DOI: 10.3389/fpsyg.2019.01834

Siegelman, N., Bogaerts, L., Armstrong, B., & Frost, R. (2019). What exactly is learned in visual statistical learning? Insights from Bayesian modelling. Cognition. DOI: 10.1016/j.cognition.2019.06.014.

Smalle, E.H.M., Szmalec, A., Bogaerts, L., Page, M.P.A., Narang, V., Misra, D., Lohagun, N., Khan O., Singh, Mishra, R.K. & Huettig, F. (2019). Stronger verbal short-term serial recall abilities in literate compared to illiterate people. Cognition. DOI: 10.1016/j.cognition.2019.01.012

 

2018

Rey, A., Minier, L., Malassis, R., Bogaerts, L. & Fagot, J. (2018). Regularity extraction across species: associative learning mechanisms shared by human and non-human primates. Topics in Cognitive Science. DOI: 10.1111/tops.12343

 

Bogaerts, L., Siegelman, N., Benporat, T., & Frost, R. (2018). Is the Hebb repetition task a reliable measure of individual differences in sequence learning? Quarterly Journal of Experimental Psychology, 71(4), 892-905. DOI: 10.1080/17470218.2017.1307432.

Siegelman, N., Bogaerts, L., Elazar, A., Arciuli, J., & Frost, R. (2018). Statistical entrenchment: prior knowledge impacts statistical learning performance. Cognition, 177, 198-213. DOI: 10.1016/j.cognition.2018.04.011.

 

Hung, Y.H., Frost, S.J., Molfese, P., Malins, J.G., Landi, N.W., Mencl, E., Rueckl, J.G., Bogaerts, L. & Pugh, K.R. (2018). Common neural basis of motor sequence learning and word recognition and its relation with individual differences in reading skill. Scientific Studies of Reading. DOI: 10.1080/10888438.2018.1451533.

 

2017 

Siegelman, N., Bogaerts, L., Kronenfeld, O. & Frost, R. (2017). Re-defining "learning" in statistical learning: what does an online measure reveal about the assimilation of visual regularities? Cognitive Science. DOI: 10.1111/cogs.12556.

 

2016

Bogaerts, L., Siegelman, N., Frost, R. (2016). Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities. Psychonomic Bulletin & Review, 23(4), 1250-1256. DOI: 10.3758/s13423-015-0996-z.

 

Bogaerts, L., Szmalec, A., De Maeyer, M., Page, M. P. A., Duyck, W. (2016). The involvement of long-term serial-order memory in reading development: A longitudinal study. Journal of Experimental Child Psychology,145, 139-156. DOI: 10.1016/j.jecp.2015.12.008

Is there a general statistical learning capacity that can sort individuals from ‘bad’ to ‘good’ learners? This opinion paper outlines the suppositions underlying the idea of a general​ capacity and evaluates the evidence supporting it. It proposes an alternative approach that considers the variability of statistical environments.

Li, A., Bogaerts, L., Theeuwes, J. (2022). Statistical learning of across-trial regularities during serial search. Journal of Experimental Psychology: Human Perception and Performance. 48(3), 262–274. DOI: 10.1037/xhp0000987

de Waard, J., Bogaerts, L., van Moorselaar, D., & Theeuwes, J. (2022). Surprisingly inflexible: statistically learned suppression of distractors generalizes across contexts. Attention, Perception, and Psychophysics, 84(2), 459–473. DOI: 10.3758/s13414-021-02387-x

2021

Bogaerts, L., Siegelman, N., Christiansen, M. & Frost, R. (2021). Is there such a thing as a "good statistical learner"? Trends in Cognitive Science. DOI: 10.1016/j.tics.2021.10.012

 

 

 

Elazar, A., Alhama, R., Bogaerts, L., et al. (2022). When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task? Cognitive Science, 46(2). DOI: 10.1111/cogs.13102

Bogaerts, L., van Moorselaar, D., Theeuwes, J. (2022). Does it help to expect distraction? Attentional capture is attenuated by high distractor frequency but not by trial-to-trial predictability. Journal of Experimental Psychology: Human Perception and Performance, 48(3), 246–261. DOI: 10.1037/xhp0000986

In this work on attentional capture by color distractors we found that distractors appearing in predictable sequences do not capture your attention less. We also propose a new experimental approach to control for inter-trial priming.

Striking red flowering tulip differs greatly from the many yellow blooming tulips in the l

PEER-REVIEWED ARTICLES

2022

Theeuwes, J., Bogaerts, L., van Moorselaar, D. (2022). What to expect where and when: how statistical learning drives visual selection. Trends in cognitive sciences. DOI: 10.1016/j.tics.2022.06.001

This study followed children from kindergarden to second grade and aimed to predict their reading skills. 
The findings highlight the role of serial-order memory in reading ability, even at the onset of reading instruction.

Image by Guy Basabose

Siegelman, N., Bogaerts, L., Christiansen, M., & Frost, R. (2016). Towards a theory of individual differences in statistical learning. Philosophical Transactions of the Royal Society – Biology, 372, 20160059. DOI: 10.1098/rstb.2016.0059.

 

Siegelman, N., Bogaerts, L., Frost, R. (2016). Measuring individual differences in statistical learning: Current pitfalls and possible solutions. Behavior Research Methods, 49(2), 418-432. DOI: 10.3758/s13428-016-0719-z.

 

2015

 

Bogaerts, L., Szmalec, A., Hachmann, W. M., Page, M. P. A., Duyck, W. (2015). Linking memory and language: Evidence for a serial-order learning impairment in dyslexia. Research in Developmental Disabilities, 43-44,106-22. DOI: 10.1016/j.ridd.2015.06.012.

 

Smalle, E., Bogaerts, L., Simonis, M., Duyck, W., Page, M.P.A., Edwards, M. & Szmalec, A. (2015). Can chunk size differences explain developmental changes in lexical learning? Frontiers in Psychology, 6, 1925. DOI: 10.3389/fpsyg.2015.01925

 

2014

Hachmann, W.M., Bogaerts, L., Szmalec, A., Woumans, E. Duyck, W., Job, R. (2014). Short-term memory for order but not for item information is impaired in developmental dyslexia. Annals of Dyslexia, 64(2), 121-136. DOI: 10.1007/s11881-013-0089-5.

 

Bogaerts, L., Szmalec, A., Hachmann, W.M., Page, M.P.A., Woumans, E., & Duyck, W. (2014). Increased susceptibility to proactive interference in adults with dyslexia? Memory, 23(2), 268-277. DOI: 10.1080/09658211.2014.882957.

2013

 

Verreyt, N., Bogaerts, L., Cop, U., Bernolet, S., De Letter, M., Hemelsoet, D., Santens, P., & Duyck, W. (2013). Syntactic priming in bilingual patients with parallel and differential aphasia. Aphasiology, 27(7), 867-887. DOI: 10.1080/02687038.2013.791918

PROCEEDING PAPERS & OTHER PUBLICATIONS

Linzen, T., Siegelman, N. & Bogaerts L. (2017). Prediction and uncertainty in an artificial language. Proceedings of the 39th Annual Conference of the Cognitive Science Society. [link]

Bogaerts, L., & Duyck, W. (2013). Is dyslexia merely taught? A reaction on Erik Moonen. Nederlands Van Nu, 1, 35-37. [link]