publications – Phillip M. Alday

(access to some of the repositories is restricted for copyright / license / other reasons)

2023

Kretzschmar, F., & Alday, P. M. (2023). Principles of statistical analysis: Old and new tools. In M. Grimaldi, Y. Shtyrov, & E. Brattico (Eds.), Language electrified. Techniques, methods, applications, and future perspectives in the neurophysiological investigation of language. https://doi.org/10.31234/osf.io/nyj3k OSF preprint.

Huizeling, E., Alday, P. M., Peeters, D., & Hagoort, P. (2023). Combining EEG and 3D-eye-tracking to study the prediction of upcoming speech in naturalistic virtual environments: A proof of principle. Neuropsychologia, 191, 108730. https://doi.org/10.1016/j.neuropsychologia.2023.108730

2022

Cao, Y., Oostenveld, R., Alday, P. M., & Piai, V. (2022). Are alpha and beta oscillations spatially dissociated over the cortex in context-driven spoken-word production? Psychophysiology, 59(6). https://doi.org/10.1111/psyp.13999

Brehm, L., & Alday, P. M. (2022). Contrast coding choices in a decade of mixed models. Journal of Memory and Language, 125, 104334. https://doi.org/10.1016/j.jml.2022.104334

Bornkessel-Schlesewsky, I., Sharrad, I., Howlett, C. A., Alday, P. M., Corcoran, A. W., Bellan, V., Kliegl, R., Lewis, R. L., Small, S. L., & Schlesewsky, M. (2022). Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.817516

2021

Liebherr, M., Corcoran, A. W., Alday, P. M., Coussens, S., Bellan, V., Howlett, C. A., Immink, M. A., Kohler, M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2021). EEG and behavioral correlates of attentional processing while walking and navigating naturalistic environments. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-01772-8

Holler, J., Alday, P. M., Decuyper, C., Geiger, M., Kendrick, K. H., & Meyer, A. S. (2021). Competition reduces response times in multiparty conversation. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.693124

2020

Kaufeld, G., Bosker, H. R., Oever, S. ten, Alday, P. M., Meyer, A. S., & Martin, A. E. (2020). Linguistic structure and meaning organize neural oscillations into a content-specific hierarchy. Journal of Neuroscience, JN-RM-0302-20. https://doi.org/10.1523/jneurosci.0302-20.2020

Cross, Z. R., Santamaria, A., Corcoran, A. W., Chatburn, A., Alday, P. M., Coussens, S., & Kohler, M. J. (2020). Individual alpha frequency modulates sleep-related emotional memory consolidation. Neuropsychologia, 148, 107660. https://doi.org/10.1016/j.neuropsychologia.2020.107660

Chan, R. W., Alday, P. M., Zou-Williams, L., Lushington, K., Schlesewsky, M., Bornkessel-Schlesewsky, I., & Immink, M. A. (2020). Focused-attention meditation increases cognitive control during motor sequence performance: Evidence from the N2 cortical evoked potential. Behavioural Brain Research, 384, 112536. https://doi.org/10.1016/j.bbr.2020.112536

2019

Alday, P. M., & Kretzschmar, F. (2019). Speed-accuracy tradeoffs in brain and behavior: Testing the independence of P300 and N400 related processes in behavioral responses to sentence categorization. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2019.00285 analysis code.

Alday, P. M. (2019). How much baseline correction do we need in ERP research? Extended GLM model can replace baseline correction while lifting its limits. Psychophysiology, 56(12). https://doi.org/10.1111/psyp.13451 arXiv preprint. example analysis code.

Rodd, J., Bosker, H. R., Ernestus, M., Alday, P. M., Meyer, A. S., & Bosch, L. ten (2019). Control of speaking rate is achieved by switching between qualitatively distinct cognitive “gaits”: Evidence from simulation. Psychological Review. https://doi.org/10.1037/rev0000172

Mantegna, F., Hintz, F., Ostarek, M., Alday, P. M., & Huettig, F. (2019). Distinguishing integration and prediction accounts of ERP N400 modulations in language processing through experimental design. Neuropsychologia, 134, 107199. https://doi.org/10.1016/j.neuropsychologia.2019.107199 analysis code and data. GitHub

Bode, S., Feuerriegel, D., Bennett, D., & Alday, P. M. (2019). The decision decoding ToolBOX (DDTBOX) – a multivariate pattern analysis toolbox for event-related potentials. Neuroinformatics, 17(1), 27–42. https://doi.org/10.1007/s12021-018-9375-z biorXiv preprint. Source code.

Alday, P. M. (2019). M/EEG analysis of naturalistic stories: A review from speech to language processing. Language, Cognition and Neuroscience, 34(4), 457–473. https://doi.org/10.1080/23273798.2018.1546882

2018

Krebs, J., Wilbur, R. B., Alday, P. M., & Roehm, D. (2019). The impact of transitional movements and non-manual markings on the disambiguation of locally ambiguous argument structures in austrian sign language (ÖGS). Language and Speech, 62(4), 652–680. https://doi.org/10.1177/0023830918801399

Corcoran, A. W., Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2018). Toward a reliable, automated method of individual alpha frequency (IAF) quantification. Psychophysiology, e13064. https://doi.org/10.1111/psyp.13064 biorXiv preprint. MATLAB implementation. Python implementation.

Meyer, A. S., Alday, P. M., Decuyper, C., & Knudsen, B. (2018). Working together: Contributions of corpus analyses and experimental psycholinguistics to understanding conversation. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.00525 Analysis code and data.

2017

Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2017). Electrophysiology reveals the neural dynamics of naturalistic auditory language processing: Event-related potentials reflect continuous model updates. Eneuro, 4(6), ENEURO.0311–16.2017. https://doi.org/10.1523/eneuro.0311-16.2017 biorXiv preprint. Analysis and paper repository. Preprocessing repository. Data DOI: 10.6084/m9.figshare.3412312.v1.

Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2017). Commentary on sanborn and chater: Posterior modes are attractor basins. Trends in Cognitive Sciences, 21(7), 491–492. https://doi.org/10.1016/j.tics.2017.04.003 bioRXiv preprint.

Wiese, R., Orzechowska, P., Alday, P. M., & Ulbrich, C. (2017). Structural principles or frequency of use? An ERP experiment on the learnability of consonant clusters. Frontiers in Psychology, 7, 2005. https://doi.org/10.3389/fpsyg.2016.02005

Kretzschmar, F., & Alday, P. M. (2017). The two sides of prediction error in reading: On the relationship between eye movements and the N400 in sentence processing. In R. Radach, H. Deubel, C. Vorstius, & M. J. Hofmann (Eds.), Proceedings of the 19th european conference on eye movements, wuppertal. Journal of Eye Movement Research, 10, 311. https://doi.org/10.16910/jemr.10.6

2016

Sassenhagen, J., & Alday, P. M. (2016). A common misapplication of statistical inference: Nuisance control with null-hypothesis significance tests. Brain and Language, 162, 42–45. https://doi.org/10.1016/j.bandl.2016.08.001 arXiv preprint. Repository. Online overview

Alday, P. M. (2016). Towards a rigorous motivation for zipf’s law. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The evolution of language: Proceedings of the 11th international conference (EVOLANG11). Online at http://evolang.org/neworleans/papers/178.html. http://evolang.org/neworleans/papers/178.html

Bornkessel-Schlesewsky, I., Alday, P. M., & Schlesewsky, M. (2016). A modality-independent, neurobiological grounding for the combinatory capacity of the language-ready brain: Comment on “towards a computational comparative neuroprimatology: Framing the language-ready brain”by michael a. arbib. Physics of Life Reviews, –. https://doi.org/10.1016/j.plrev.2016.01.003

Ulbrich, C., Alday, P. M., Knaus, J., Orzechowskac, P., & Wiese, R. (2016). The role of phonotactic principles in language processing. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2015.1136427

2015

Bornkessel-Schlesewsky, I., Philipp, M., Alday, P. M., Kretzschmar, F., Grewe, T., Gumpert, M., Schumacher, P. B., & Schlesewsky, M. (2015). Age-related changes in predictive capacity versus internal model adaptability: Electrophysiological evidence that individual differences outweigh effects of age. Frontiers in Aging Neuroscience, 7(217). https://doi.org/10.3389/fnagi.2015.00217

Alday, P. M. (2015). Be careful when assuming the obvious: Commentary on “the placement of the head that minimizes online memory: A complex systems approach.” Language Dynamics and Change, 5(1), 138–146. https://doi.org/10.1163/22105832-00501008 https://hg.sr.ht/~palday/comment-on-ldc-1028

Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2015). Discovering prominence and its role in language processing: An individual (differences) approach. Linguistic Vanguard, 1(1). https://doi.org/10.1515/lingvan-2014-1013 Source Code.

2014

Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2014). Towards a computational model of actor-based language comprehension. Neuroinformatics, 12(1), 143–179. https://doi.org/10.1007/s12021-013-9198-x Analysis Code.

2012

Alday, P. M. (2012). Province on a hill: South tyrol as a microcosm of european federalism. In Ideas of | for europe. An interdisciplinary approach to european identity (pp. 271–284).