Publications

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.

Rabovsky, M., Álvarez, C. J., Hohlfeld, A. & Sommer, W. (2008). Is lexical access autonomous? Evidence from combining overlapping tasks with recording event-related brain potentials. Brain Research, 1222, 156-165.