Literature DB >> 21935735

Both-edges representation of letter position in reading.

Simon Fischer-Baum1, Jonathan Charny, Michael McCloskey.   

Abstract

The representations that underlie our ability to read must encode not only the identities of the letters in a word, but also their relative positions. In recent years, many new proposals have been advanced concerning the representation of letter position in reading, but the available data do not distinguish among the competing proposals; multiple theories, each positing a different letter position representation scheme, are compatible with the evidence. In this article, we report two experiments that used the illusory word paradigm (e.g., Davis & Bowers, Journal of Experimental Psychology: Human Perception and Performance, 30: 923-941, 2004) to distinguish among alternative schemes for representing letter position in reading. The results support a scheme that uses both the beginning and the end of a word as anchoring points. This both-edges scheme has been implicated in letter position representation in spelling (Fischer-Baum, McCloskey, & Rapp, Cognition, 115: 466-490, 2010), as well as in position representation in verbal working memory (Henson, Memory & Cognition, 27: 915-927, 1999), suggesting that it may be a domain-general scheme for representing position in a sequence.

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Year:  2011        PMID: 21935735     DOI: 10.3758/s13423-011-0160-3

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  13 in total

1.  Positional information in short-term memory: relative or absolute?

Authors:  R N Henson
Journal:  Mem Cognit       Date:  1999-09

Review 2.  DRC: a dual route cascaded model of visual word recognition and reading aloud.

Authors:  M Coltheart; K Rastle; C Perry; R Langdon; J Ziegler
Journal:  Psychol Rev       Date:  2001-01       Impact factor: 8.934

Review 3.  How the brain encodes the order of letters in a printed word: the SERIOL model and selective literature review.

Authors:  C Whitney
Journal:  Psychon Bull Rev       Date:  2001-06

4.  What do letter migration errors reveal about letter position coding in visual word recognition?

Authors:  Colin J Davis; Jeffrey S Bowers
Journal:  J Exp Psychol Hum Percept Perform       Date:  2004-10       Impact factor: 3.332

5.  The spatial coding model of visual word identification.

Authors:  Colin J Davis
Journal:  Psychol Rev       Date:  2010-07       Impact factor: 8.934

6.  Representation of letter position in spelling: evidence from acquired dysgraphia.

Authors:  Simon Fischer-Baum; Michael McCloskey; Brenda Rapp
Journal:  Cognition       Date:  2010-04-08

7.  Beyond single syllables: large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model.

Authors:  Conrad Perry; Johannes C Ziegler; Marco Zorzi
Journal:  Cogn Psychol       Date:  2010-05-26       Impact factor: 3.468

8.  Contrasting five different theories of letter position coding: evidence from orthographic similarity effects.

Authors:  Colin J Davis; Jeffrey S Bowers
Journal:  J Exp Psychol Hum Percept Perform       Date:  2006-06       Impact factor: 3.332

Review 9.  Comparison of the SERIOL and SOLAR theories of letter-position encoding.

Authors:  Carol Whitney
Journal:  Brain Lang       Date:  2007-09-21       Impact factor: 2.381

10.  Illusory words: the roles of attention and of top-down constraints in conjoining letters to form words.

Authors:  A Treisman; J Souther
Journal:  J Exp Psychol Hum Percept Perform       Date:  1986-02       Impact factor: 3.332

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  7 in total

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Journal:  Psychon Bull Rev       Date:  2017-06

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Journal:  Cogn Neuropsychol       Date:  2014-02-05       Impact factor: 2.468

5.  "hotdog", not "hot" "dog": The phonological planning of compound words.

Authors:  Cassandra L Jacobs; Gary S Dell
Journal:  Lang Cogn Neurosci       Date:  2014       Impact factor: 2.331

6.  What causes the greater perceived similarity of consonant-transposed nonwords?

Authors:  Teresa Schubert; Sachiko Kinoshita; Dennis Norris
Journal:  Q J Exp Psychol (Hove)       Date:  2018-01-01       Impact factor: 2.143

7.  Deep generative learning of location-invariant visual word recognition.

Authors:  Maria Grazia Di Bono; Marco Zorzi
Journal:  Front Psychol       Date:  2013-09-19
  7 in total

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