Argitalpenak

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.