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Predicting the N400 ERP component using the Sentence Gestalt model trained on a large scale corpus
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Change in a probabilistic representation of meaning can account for N400 effects on articles: a neural network model ...
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Quasi-compositional mapping from form to meaning: a neural network-based approach to capturing neural responses during human language comprehension
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In: Philos Trans R Soc Lond B Biol Sci (2020)
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Attentional modulation of orthographic neighborhood effects during reading: Evidence from event-related brain potentials in a psychological refractory period paradigm ...
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Change in a probabilistic representation of meaning can account for N400 effects on articles: a neural network model
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Semantic richness effects in visual word processing
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Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014
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Semantic richness effects in visual word processing ...
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Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014
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Simulating the N400 ERP Component as Semantic Network Error: Insights from a Feature-Based Connectionist Attractor Model of Word Meaning
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In: Psychology Publications (2014)
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The time course of semantic richness effects in visual word recognition ...
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The time course of semantic richness effects in visual word recognition
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Abstract:
The richness of semantic representations associated with individual words has emerged as an important variable in reading. In the present study we contrasted different measures of semantic richness and explored the time course of their influences during visual word processing as reflected in event-related brain potentials (ERPs). ERPs were recorded while participants performed a lexical decision task on visually presented words and pseudowords. For word stimuli, we orthogonally manipulated two frequently employed measures of semantic richness: the number of semantic features generated in feature-listing tasks and the number of associates based on free association norms. We did not find any influence of the number of associates. In contrast, the number of semantic features modulated ERP amplitudes at central sites starting at about 190 ms, as well as during the later N400 component over centro-parietal regions (300–500 ms). Thus, initial access to semantic representations of single words is fast and word meaning continues to modulate processing later on during reading.
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Keyword:
610 Medizin und Gesundheit; ddc:610; ERPs; N400; semantic richness; visual word recognition; word meaning
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URN:
urn:nbn:de:kobv:11-110-18452/21544-0
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URL: https://doi.org/10.3389/fnhum.2012.00011 http://edoc.hu-berlin.de/18452/21544
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The time course of semantic richness effects in visual word recognition
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