{"pk":26307,"title":"Modeling N400 amplitude using vector space models of word representation","subtitle":null,"abstract":"We use a vector space model (VSM) to simulate semantic relat-edness effects in sentence processing, and use this connectionto predict N400 amplitude in an ERP study by Federmeierand Kutas (1999). We find that the VSM-based model is ableto capture key elements of the authors’ manipulations and re-sults, accounting for aspects of the results that are unexplainedby cloze probability. This demonstration provides a proof ofconcept for use of VSMs in modeling the particular contextrepresentations and corresponding facilitation processes thatseem to influence non-cloze-like behavior in the N400.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"N400"},{"word":"vector space models"},{"word":"semantic relatedness"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/35n97456","frozenauthors":[{"first_name":"Allyson","middle_name":"","last_name":"Ettinger","name_suffix":"","institution":"University of Maryland","department":""},{"first_name":"Naomi","middle_name":"","last_name":"Feldman","name_suffix":"","institution":"University of Maryland","department":""},{"first_name":"Philip","middle_name":"","last_name":"Resnik","name_suffix":"","institution":"University of Maryland","department":""},{"first_name":"Colin","middle_name":"","last_name":"Phillips","name_suffix":"","institution":"University of Maryland","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26307/galley/15943/download/"}]}