Literature DB >> 21463891

Location, location, location: how it affects the neighborhood (effect).

Carol Whitney1.   

Abstract

Reaction times in lexical decision are more sensitive to a words' length and orthographic-neighborhood density when the stimulus is presented to the left visual field (LVF) than to the right visual field (RVF). We claim that the length effect is equivalent to the neighborhood effect, and propose a novel explanation of why the LVF, but not the RVF, is sensitive to density, based on different firing rates of abstract-letter representations encoding letters falling in the LVF versus RVF. We support this proposal with a large-scale implemented model of lexical decision utilizing spiking units, which provides a reasonable fit to the data from the English Lexicon Project under simulated central presentation, while replicating the observed hemifield asymmetries under simulated lateralized presentation.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21463891     DOI: 10.1016/j.bandl.2011.03.001

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  6 in total

1.  Are all letters really processed equally and in parallel? Further evidence of a robust first letter advantage.

Authors:  Michele Scaltritti; David A Balota
Journal:  Acta Psychol (Amst)       Date:  2013-09-04

2.  GECO-CN: Ghent Eye-tracking COrpus of sentence reading for Chinese-English bilinguals.

Authors:  Longjiao Sui; Nicolas Dirix; Evy Woumans; Wouter Duyck
Journal:  Behav Res Methods       Date:  2022-07-27

3.  Embedded word priming elicits enhanced fMRI responses in the visual word form area.

Authors:  Zhiheng Zhou; Carol Whitney; Lars Strother
Journal:  PLoS One       Date:  2019-01-10       Impact factor: 3.240

4.  Letter order is not coded by open bigrams.

Authors:  Sachiko Kinoshita; Dennis Norris
Journal:  J Mem Lang       Date:  2013-08       Impact factor: 3.059

5.  Many neighbors are not silent. fMRI evidence for global lexical activity in visual word recognition.

Authors:  Mario Braun; Arthur M Jacobs; Fabio Richlan; Stefan Hawelka; Florian Hutzler; Martin Kronbichler
Journal:  Front Hum Neurosci       Date:  2015-07-22       Impact factor: 3.169

Review 6.  Models of visual word recognition.

Authors:  Dennis Norris
Journal:  Trends Cogn Sci       Date:  2013-09-04       Impact factor: 20.229

  6 in total

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