Publications

Frost, R., Bogaerts, L., Samuel, A.G., Magnuson, J.S., Holt, L.L., & Christiansen, M.H. (In press). Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System. Psychological Review. Doi:10.1037/rev0000547

Siegelman, N., Armstrong, B.C., Raz, Y., & Frost, R. (In press). The Statistical Reader: The Role of Orthographic Regularities in Reading. Journal of Experimental Psychology General. Doi:10.1037/xge0001775

Morucci, P., Giannelli, F., Richter, C.G., & Molinaro, N. (2025). Spoken words affect visual object recognition via the modulation of alpha and beta oscillations. Frontiers in Neuroscience, 19. Doi:10.3389/fnins.2025.1467249

Carreiras, M., Quiñones, I., Chen, H.A., Vázquez-Araujo, L., Small, D., & Frost, R. (2024). Sniffing out meaning: Chemosensory and semantic neural network changes in sommeliers. Human Brain Mapping, 45(2). Doi:10.1002/hbm.26564

Li, J., & Armstrong, B.C. (2024). Probing the Representational Structure of Regular Polysemy via Sense Analogy Questions: Insights from Contextual Word Vectors. Cognitive Science, 48(3). Doi:10.1111/cogs.13416

Stein, R., Frost, R., & Siegelman, N. (2024). HeLP: The Hebrew Lexicon project. Behavior Research Methods, 56(8), 8761-8783. Doi:10.3758/s13428-024-02502-4

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. Doi:10.1016/j.tics.2021.10.012

Bouziane, I., Das, M., Friston, K.J., Caballero-Gaudes, C., & Ray, D. (2022). Enhanced top-down sensorimotor processing in somatic anxiety. Translational Psychiatry, 12(1). Doi:10.1038/s41398-022-02061-2

Elazar, A., Alhama, R.G., Bogaerts, L., Siegelman, N., Baus, C., & Frost, R. (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

López Zunini, R.A., Baart, M., Samuel, A.G., & Armstrong, B.C. (2022). Lexico-semantic access and audiovisual integration in the aging brain: Insights from mixed-effects regression analyses of event-related potentials. Neuropsychologia, 165. Doi:10.1016/j.neuropsychologia.2021.108107

Beekhuizen, B., Armstrong, B.C., & Stevenson, S. (2021). Probing Lexical Ambiguity: Word Vectors Encode Number and Relatedness of Senses. Cognitive Science, 45(5). Doi:10.1111/cogs.12943

Bogaerts, L., Siegelman, N., & Frost, R. (2021). Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts. Perspectives on Psychological Science, 16(2), 319-337. Doi:10.1177/1745691620953082

Brice, H., Frost, S.J., Bick, A.S., Molfese, P.J., Rueckl, J.G., Pugh, K.R., & Frost, R. (2021). Tracking second language immersion across time: Evidence from a bi-directional longitudinal cross-linguistic fMRI study. Neuropsychologia, 154. Doi:10.1016/j.neuropsychologia.2021.107796

Nara, S., Lizarazu, M., Richter, C.G., Dima, D.C., Cichy, R.M., Bourguignon, M., & Molinaro, N. (2021). Temporal uncertainty enhances suppression of neural responses to predictable visual stimuli. Neuroimage, 239. Doi:10.1016/j.neuroimage.2021.118314

Ray, D., Bezmaternykh, D., Mel’nikov, M., Friston, K.J., & Das, M. (2021). Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression. Proceedings of the National Academy of Sciences of the United States of America, 118(40). Doi:10.1073/pnas.2105730118

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

Bogaerts, L., Richter, C.G., 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

López Zunini, R.A., Baart, M., Samuel, A.G., & Armstrong, B.C. (2020). Lexical access versus lexical decision processes for auditory, visual, and audiovisual items: Insights from behavioral and neural measures. Neuropsychologia, 137. Doi:10.1016/j.neuropsychologia.2019.107305

Brice, H., Mencl, W.E., Frost, S.J., Bick, A.S., Rueckl, J.G., Pugh, K.R., & Frost, R. (2019). Neurobiological signatures of L2 proficiency: Evidence from a bi-directional cross-linguistic study. Journal of Neurolinguistics, 50, 7-16. Doi:10.1016/j.jneuroling.2018.02.004

Frost, R., Armstrong, B.C., & Christiansen, M.H. (2019). Statistical learning research: A critical review and possible new directions. Psychological Bulletin, 145(12), 1128-1153. Doi:10.1037/bul0000210

Ling, S., Lee, A.C.H., Armstrong, B.C., & Nestor, A. (2019). How are visual words represented? Insights from EEG-based visual word decoding, feature derivation and image reconstruction. Human Brain Mapping, 40(17), 5056-5068. Doi:10.1002/hbm.24757

Re, D., Inbar, M., Richter, C.G., & Landau, A.N. (2019). Feature-Based Attention Samples Stimuli Rhythmically. Current Biology, 29(4), 693-699.e4. Doi:10.1016/j.cub.2019.01.010

Rice, C.A., Beekhuizen, B., Dubrovsky, V., Stevenson, S., & Armstrong, B.C. (2019). A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings. Behavior Research Methods, 51(3), 1399-1425. Doi:10.3758/s13428-018-1107-7

Siegelman, N., Bogaerts, L., & Frost, R. (2019). What Determines Visual Statistical Learning Performance? Insights From Information Theory. Cognitive Science, 43(12). Doi:10.1111/cogs.12803

Siegelman, N., Bogaerts, L., Armstrong, B.C., & Frost, R. (2019). What exactly is learned in visual statistical learning? Insights from Bayesian modeling. Cognition, 192. Doi:10.1016/j.cognition.2019.06.014

Bogaerts, L., Siegelman, N., Ben-Porat, 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

Richter, C.G., Coppola, R., & Bressler, S.L. (2018). Top-down beta oscillatory signaling conveys behavioral context in early visual cortex. Scientific Reports, 8(1). Doi:10.1038/s41598-018-25267-1

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

Siegelman, N., Bogaerts, L., Kronenfeld, O., & Frost, R. (2018). Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?. Cognitive Science, 42, 692-727. Doi:10.1111/cogs.12556

Thompson, W.H., Richter, C.G., Plavén-Sigray, P., & Fransson, P. (2018). Simulations to benchmark time-varying connectivity methods for fMRI. Plos Computational Biology, 14(5). Doi:10.1371/journal.pcbi.1006196

Armstrong, B.C., Dumay, N., Kim, W., & Pitt, M.A. (2017). Generalization from newly learned words reveals structural properties of the human reading system. Journal of Experimental Psychology General, 146(2), 227-249. Doi:10.1037/xge0000257

Armstrong, B.C., Frost, R., & Christiansen, M.H. (2017). The long road of statistical learning research: Past, present and future. Philosophical Transactions of the Royal Society B Biological Sciences, 372(1711). Doi:10.1098/rstb.2016.0047

Baart, M., Armstrong, B.C., Martin, C.D., Frost, R., & Carreiras, M. (2017). Cross-modal noise compensation in audiovisual words. Scientific Reports, 7. Doi:10.1038/srep42055

Medeiros, J., & Armstrong, B.C. (2017). Semantic Ambiguity Effects: A Matter of Time?. Cogsci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society Computational Foundations of Cognition, 2693-2698.

Roux, F., Armstrong, B.C., & Carreiras, M. (2017). Chronset: An automated tool for detecting speech onset. Behavior Research Methods, 49(5), 1864-1881. Doi:10.3758/s13428-016-0830-1

Siegelman, N., Bogaerts, L., & Frost, R. (2017). 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

Siegelman, N., Bogaerts, L., Christiansen, M.H., & Frost, R. (2017). Towards a theory of individual differences in statistical learning. Philosophical Transactions of the Royal Society B Biological Sciences, 372(1711). Doi:10.1098/rstb.2016.0059

Armstrong, B.C., & Plaut, D.C. (2016). Disparate semantic ambiguity effects from semantic processing dynamics rather than qualitative task differences. Language Cognition and Neuroscience, 31(7), 940-966. Doi:10.1080/23273798.2016.1171366

Armstrong, B.C., Zugarramurdi, C., Cabana, Á., Valle Lisboa, J., & Plaut, D.C. (2016). Relative meaning frequencies for 578 homonyms in two Spanish dialects: A cross-linguistic extension of the English eDom norms. Behavior Research Methods, 48(3), 950-962. Doi:10.3758/s13428-015-0639-3

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 and Review, 23(4), 1250-1256. Doi:10.3758/s13423-015-0996-z

Armstrong, B.C., Ruiz-Blondet, M.V., Khalifian, N., Kurtz, K.J., Jin, Z., & Laszlo, S. (2015). Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing, 166, 59-67. Doi:10.1016/j.neucom.2015.04.025

Frost, R., Armstrong, B.C., Siegelman, N., & Christiansen, M.H. (2015). Domain generality versus modality specificity: The paradox of statistical learning. Trends in Cognitive Sciences, 19(3), 117-125. Doi:10.1016/j.tics.2014.12.010

Frost, R., Quiñones, I., Veldhuizen, M., Alava, J.I., Small, D., & Carreiras, M. (2015). What can the brain teach us about winemaking? An fMRI study of alcohol level preferences. Plos One, 10(3). Doi:10.1371/journal.pone.0119220

Rueckl, J.G., Paz-Alonso, P.M., Molfese, P.J., Kuo, W.J., Bick, A., Frost, S.J., Hancock, R., Wu, D.H., Einar Mencl, W., Duñabeitia, J.A., Lee, J.R., Oliver, M., Zevin, J.D., Hoeft, F., Carreiras, M., Tzeng, O.J.L., Pugh, K.R., & Frost, R. (2015). Universal brain signature of proficient reading: Evidence from four contrasting languages. Proceedings of the National Academy of Sciences of the United States of America, 112(50), 15510-15515. Doi:10.1073/pnas.1509321112

Samuel, A.G., & Frost, R. (2015). Lexical support for phonetic perception during nonnative spoken word recognition. Psychonomic Bulletin and Review, 22(6), 1746-1752. Doi:10.3758/s13423-015-0847-y

Siegelman, N., & Frost, R. (2015). Statistical learning as an individual ability: Theoretical perspectives and empirical evidence. Journal of Memory and Language, 81, 105-120. Doi:10.1016/j.jml.2015.02.001

Carreiras, M., Armstrong, B.C., Perea, M., & Frost, R. (2014). The what, when, where, and how of visual word recognition. Trends in Cognitive Sciences, 18(2), 90-98. Doi:10.1016/j.tics.2013.11.005

Laszlo, S., & Armstrong, B.C. (2014). PSPs and ERPs: Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended Event-Related Potential reading data. Brain and Language, 132, 22-27. Doi:10.1016/j.bandl.2014.03.002

Lerner, I., Armstrong, B.C., & Frost, R. (2014). What can we learn from learning models about sensitivity to letter-order in visual word recognition?. Journal of Memory and Language, 77(C), 40-58. Doi:10.1016/j.jml.2014.09.002

Ruiz-Blondet, M., Khalifian, N., Armstrong, B.C., Jin, Z., Kurtz, K.J., & Laszlo, S. (2014). Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. Proceedings of the 36th Annual Meeting of the Cognitive Science Society Cogsci 2014, 827-832.

Armstrong, B.C., & Plaut, D.C. (2013). Simulating Overall and Trial-by-Trial Effects in Response Selection with a Biologically-plausible Connectionist Network. Cooperative Minds Social Interaction and Group Dynamics Proceedings of the 35th Annual Meeting of the Cognitive Science Society Cogsci 2013, 139-144.

Frost, R., & Keuleers, E. (2013). What Can We Learn From Monkeys About Orthographic Processing in Humans? A Reply to Ziegler et al.. Psychological Science, 24(9), 1868-1869. Doi:10.1177/0956797613482145

Frost, R., Siegelman, N., Narkiss, A., & Afek, L. (2013). What Predicts Successful Literacy Acquisition in a Second Language?. Psychological Science, 24(7), 1243-1252. Doi:10.1177/0956797612472207

Laszlo, S., & Armstrong, B.C. (2013). Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended ERP reading data. Cooperative Minds Social Interaction and Group Dynamics Proceedings of the 35th Annual Meeting of the Cognitive Science Society Cogsci 2013, 2826-2831.