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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Predicting the N400 ERP component using the Sentence Gestalt model trained on a large scale corpus Lopopolo, Alessandro; Rabovsky, Milena In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) Abstract: The N400 component of the event related brain potential is widely used to investigate language and meaning processing. However, despite much research the component’s functional basis remains actively debated. Recent work showed that the update of the predictive representation of sentence meaning (semantic update, or SU) generated by the Sentence Gestalt model (McClelland, St. John, & Taraban, 1989) consistently displayed a similar pattern to the N400 amplitude in a series of conditions known to modulate this event-related potential. These results led (Rabovsky, Hansen, and McClelland,2018) to suggest that the N400 might reflect change in a probabilistic representation of meaning corresponding to an implicit semantic prediction error. However, a limitation of this work is that the model was trained on a small artificial training corpus and thus could not be presented with the same naturalistic stimuli presented in empirical experiments. In the present study, we overcome this limitation and directly model the amplitude of the N400 elicited during naturalistic sentence processing by using as predictor the SU generated by a Sentence Gestalt model trained on a large corpus of texts. The results reported in this paper corroborate the hypothesis that the N400 component reflects the change in a probabilistic representation of meaning after every word presentation. Further analyses demonstrate that the SU of the Sentence Gestalt model and the amplitude of the N400 are influenced similarly by the stochastic and positional properties of the linguistic input. Keyword: cognitive science URL: https://escholarship.org/uc/item/49x8z7bm BASE Hide details 2 Change in a probabilistic representation of meaning can account for N400 effects on articles: a neural network model ... Rabovsky, Milena. - : Universität Potsdam, 2021 BASE Show details 3 Quasi-compositional mapping from form to meaning: a neural network-based approach to capturing neural responses during human language comprehension Rabovsky, Milena; McClelland, James L. In: Philos Trans R Soc Lond B Biol Sci (2020) BASE Show details 4 Attentional modulation of orthographic neighborhood effects during reading: Evidence from event-related brain potentials in a psychological refractory period paradigm ... Rabovsky, Milena; Conrad, Markus; Álvarez, Carlos J.. - : Freie Universität Berlin, 2019 BASE Show details 5 Change in a probabilistic representation of meaning can account for N400 effects on articles: a neural network model Rabovsky, Milena. - 2019 BASE Show details 6 Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning Rabovsky, Milena; McRae, Ken In: Cognition. - Amsterdam [u.a] : Elsevier 132 (2014) 1, 68-89 OLC Linguistik Show details 7 Semantic richness effects in visual word processing Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014 BASE Show details 8 Semantic richness effects in visual word processing ... Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014 BASE Show details 9 Simulating the N400 ERP Component as Semantic Network Error: Insights from a Feature-Based Connectionist Attractor Model of Word Meaning Rabovsky, Milena; McRae, Ken In: Psychology Publications (2014) BASE Show details 10 The time course of semantic richness effects in visual word recognition Rabovsky, Milena [Verfasser]; Sommer, Werner [Verfasser]. - Berlin : Humboldt-Universität zu Berlin, 2012 DNB Subject Category Language Show details 11 The time course of semantic richness effects in visual word recognition ... Rabovsky, Milena; Sommer, Werner; Abdel Rahman, Rasha. - : Humboldt-Universität zu Berlin, 2012 BASE Show details 12 The time course of semantic richness effects in visual word recognition Rabovsky, Milena; Sommer, Werner; Abdel Rahman, Rasha. - : Humboldt-Universität zu Berlin, 2012 BASE Show details 13 The time course of semantic richness effects in visual word recognition Rabovsky, Milena; Sommer, Werner; Abdel Rahman, Rasha. - : Frontiers Media S.A., 2012 BASE Show details

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