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.
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
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
Rabovsky, M. (2020). Change in a probabilistic representation of meaning can account for N400 effects on articles: A neural network model. Neuropsychologia, 143, 107466.
Rabovsky, M., & McClelland, J. L. (2020). Quasi-compositional mapping from form to meaning: a neural-network based approach to capturing neural responses during language comprehension. Philosophical Transactions of the Royal Society B. 375: 20190313.
Schad, D.J., Rapp, M.A., Garbusow, M., Nebe, S., Sebold, M., Obst, E., Sommer, C., Deserno, L., Rabovsky, M., Friedel, E., Romanczuk-Seiferth, N., Wittchen, H.-U., Zimmermann, U.S., Walter, H., Sterzer, P., Smolka, M.N., Schlagenhauf, F., Heinz, A., Dayan, P., & Huys, Q.J.M. (2020). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behavior, doi: 10.1038/s41562-019-0765-5
Weller, P., Rabovsky, M., & Abdel Rahman, R. (2019). Semantic knowledge promotes conscious awareness of visual objects. Journal of Cognitive Neuroscience, 31, 1216-1226.
Rabovsky, M., Conrad, M., Álvarez, C.J., Paschke-Goldt, J., & Sommer, W. (2019). Attentional modulation of orthographic neighborhood effects during reading: Evidence from event-related brain potentials in a psychological refractory period paradigm. PLOS ONE, 14(1): e0199084. https://doi.org/10.1371/journal.pone.0199084
Rabovsky, M., Hansen, S.S., & McClelland, J.L. (2018). Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour, 2, 693-705.
Baum, J.A.*, Rabovsky, M.*, Rose, S.B., & Abdel Rahman, R. (2018). Clear judgments based on unclear evidence: Person evaluation is strongly influenced by untrustworthy gossip. Emotion. doi: 10.1037/emo0000545
Rabovsky, M., Schad, D.J., & Abdel Rahman, R. (2016). Language production is facilitated by semantic richness, but inhibited by semantic density: Evidence from picture naming. Cognition, 146, 240-244.
Rabovsky, M., Stein, T., & Abdel Rahman, R. (2016). Access to awareness for faces during continuous flash suppression is not modulated by affective knowledge. PLOS ONE, 11(4):e0150931.
Rabovsky, M., Hansen, S.S., & McClelland, J.L. (2016). N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model. Proceedings of the 38th Annual Meeting of the Cognitive Science Society, pp 2045-2050. Cognitive Science Society: Austin: TX.
Rabovsky, M. & McRae, K. (2014). Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning. Cognition, 132(1), 68-89.
Suess, F., Rabovsky, M., & Abdel Rahman, R. (2014). Perceiving emotions in neutral faces: expression processing is biased by affective person knowledge. Social Cognitive and Affective Neuroscience, 1-6.
Rabovsky, M., Sommer, W. & Abdel Rahman, R. (2012). Implicit word learning benefits from semantic richness: Electrophysiological and behavioral evidence. Journal of Experimental Psychology: Learning, Memory, & Cognition, 38(4), 1076-1083.
Rabovsky, M., Sommer, W. & Abdel Rahman, R. (2012). Depth of conceptual knowledge modulates visual processes during word reading. Journal of Cognitive Neuroscience, 24(4), 990-1005.
Rabovsky, M., Sommer, W. & Abdel Rahman, R. (2012). Time course of semantic richness effects in visual word recognition. Frontiers in Human Neuroscience, 6:11.