Filters, Neighbors, and Triangles: A Behaviorally and Electrophysiologically Informed Perspective on Visual Word Recognition
Laszlo, Sarah
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/82176
Description
Title
Filters, Neighbors, and Triangles: A Behaviorally and Electrophysiologically Informed Perspective on Visual Word Recognition
Author(s)
Laszlo, Sarah
Issue Date
2009
Doctoral Committee Chair(s)
Kara Federmeier
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Psychology, Cognitive
Language
eng
Abstract
Two Event-Related Potential (ERP) studies and one behavioral study are presented in service of a single goal: to evaluate current prevalent computational models of visual word recognition. Specifically, the functionally homogenous cooperative division of labor model (Triangle) and the full family of dual-route models (Dual-Route Cascaded and Connectionist Dual Process Plus) are contrasted. The results of the three experiments unanimously suggest that visual word recognition is accomplished via functionally homogenous computations that are not dependent on factors such as orthographic regularity---results which contradict core tenants of dual-process models and are instead more consistent with functionally homogenous models, such as the Triangle model. In addition to this support for Triangle-type models, two other conclusions are drawn. First, that orthographic neighborhood size (i.e., Coltheart's N) is a considerably more important determiner of ERP morphology than has previously been thought, and second that the N400 ERP component can be elicited by a considerably wider range of orthographic inputs than previous studies have suggested.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
