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Effect of Typicality in Abstract Word Categories on N400 ERP

Topics: Cognitive Science and Psychology; EEG and EMG Signal Processing and Applications; Information Processing; Neural Signal Processing

Authors: Mansoureh Fahimi and Marc Van Hulle

Affiliation: KU Leuven University, Belgium

Keyword(s): EEG-ERP, N400 component, prototype theory, word categorization

Related Ontology Subjects/Areas/Topics: EMG Signal Processing and Applications ; Health Engineering and Technology Applications ; Information Processing ; Neural Signal Processing ; Neurocomputing ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: We investigate the effect of word typicality-the degree of membership of a word to its superordinate category- on the N400 event-related potential (ERP) using a single trial detection approach based on spatiotemporal beamforming. Unlike the norm in studies, where mostly concrete categories are used (imaginable objects), we considered a total of 6 basic categories: three abstract and unimaginable (emotion, event, illness) one abstract yet clearly imaginable (colour), and two concrete categories, one coherent (mammals) and the other incoherent (furniture). Our results show that, independently of word abstractness or concreteness, word typicality has a clear effect on N400 both in terms of amplitude and scalp localization, which in turn is indicative of differences in difficulty of word processing.


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Paper citation in several formats:
Fahimi, M. and Van Hulle, M. (2016). Effect of Typicality in Abstract Word Categories on N400 ERP.

author={Mansoureh Fahimi. and Marc {Van Hulle}.},
title={Effect of Typicality in Abstract Word Categories on N400 ERP},


JO -
TI - Effect of Typicality in Abstract Word Categories on N400 ERP
SN -
AU - Fahimi, M.
AU - Van Hulle, M.
PY - 2016
SP - 0
EP - 0
DO -