Publications

In revision

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

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

2023

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

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

2022

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.

2021

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