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Submitted/ in revision

Hodapp, A., Lindborg, A., & Rabovsky, M. (submitted). Bayesian semantic surprise based on different types of regularities predicts the N400 and P600 brain signals. Manuscript submitted to NeuroImage.  Link to bioRxiv.

Rabovsky, M., Lopopolo, A., & Schad, D.J. (under review). Interindividual differences in predicting words versus sentence meaning: Explaining N400 amplitudes using large-scale neural network models. Manuscript under review for Cognition.

Contier, F., Hoeger, M., & Rabovsky, M. (in revision). The P600 during sentence reading predicts behavioral and neural markers of recognition memory. Manuscript in revision for Journal of Cognitive Neuroscience. Link to bioRxiv.


Contier, F., Wartenburger, I., Weymar, M., & Rabovsky, M. (in press). Are the P600 and P3 ERP components linked to the task-evoked pupillary response as a correlate of norepinephrine activity? Psychophysiology. Link.

Hodapp, A. & Rabovsky, M. (in press). Error-based implicit learning in language: The effect of sentence context and prediction violation in a repetition paradigm. Journal of Cognitive Neuroscience. Link to bioRxiv.

Lopopolo, A., Fedorenko, E., Levy, R., & Rabovsky, M. (2024). Cognitive computational neuroscience of language: Using computational models to investigate language processing in the brain. Neurobiology of Language. Link.

Lopopolo, A. & Rabovsky, M. (2024). Tracking lexical and semantic prediction error underlying the N400 using artificial neural network models of sentence processing. Neurobiology of Language. Link.

Eiserbeck, A., Enge, A., Rabovsky, M., & Abdel Rahman, R. (2024). Distrust Before First Sight: Knowledge- and Appearance-Based Effects of Trustworthiness on the Visual Consciousness of Faces. Consciousness and Cognition, 117, 103629. Link to bioRxiv.


Stone, K., Khaleghi, N., & Rabovsky, M. (2023). The N400 is elicited by meaning changes but not synonym substitutions: Evidence from Persian phrasal verbs. Cognitive Science, 47(12), e13394. Link to preprint on OSF.

Arana, S., Hagoort, P., Schoffelen, J.-M.*, & Rabovsky, M.* (2023). Perceived similarity as a window into representations of integrated sentence meaning. Behavior Research Methods.

Lindborg, A.*, Musiolek, L.*, Ostwald, D., & Rabovsky, M. (2023). Semantic surprise predicts the N400 brain potential. NeuroImage: Reports, 3(1), 100161. https://doi.org/10.1016/j.ynirp.2023.100161

Rabovsky, M. (2023). Neural underpinnings of semantic processing. In Language Electrified: Principles, Methods, and Future Perspectives of Investigation, edited by M. Grimaldi, E. Brattico, & Y. Shtyrov, 527-550. New York: Springer Nature.

Schad, D.J. & Rabovsky, M. (2023). Social-distancing induced deceleration can enhance subjective well-being. Applied Psychology: Health and Well-being. https://doi.org/10.1111/aphw.12414

Liu, S., Rabovsky, M., & Schad, D.J. (2023). Spontaneous mind wandering impairs model based decision making. PLOS ONE, 18(1): e0279532. https://doi.org/10.1371/journal.pone.0279532


Contier, F., Weymar, M., Wartenburger, I., & Rabovsky, M. (2022). Sustained attention as measured by RT variability is a strong modulator for the P600, but not the N400. Journal of Cognitive Neuroscience, 34(12), 2297-2310. Link to preprint.

Eiserbeck, A., Enge, A., Rabovsky, M., & Abdel Rahman, R. (2022). Electrophysiological Chronometry of Graded Consciousness during the Attentional Blink. Cerebral Cortex, 32(6), 1244-1259. Link.


Hodapp, A. & Rabovsky, M. ( 2021). The N400 ERP component reflects an error-based implicit learning signal during language comprehension. European Journal of Neuroscience, 54(9), 7125-7140. Link.

Lopopolo, A. & Rabovsky, M. (2021). Predicting the N400 ERP component using the Sentence Gestalt model trained on a large scale corpus. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. https://escholarship.org/uc/item/49x8z7bm

Lindborg, A. & Rabovsky, M. (2021). Meaning in brains and machines: Internal activation update in large scale language model partially reflects the N400 brain potential. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. https://escholarship.org/uc/item/6d71c9sj

Rabovsky, M., Schad, D.J., & Abdel Rahman, R. (2021). Semantic richness and density effects on language production: Electrophysiological and behavioral evidence. Journal of Experimental Psychology: Learning, Memory, and Cognition, 47(3), 508-517. https://doi.org/10.1037/xlm0000940 Preprint: https://www.biorxiv.org/content/10.1101/509000v2