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Original Articles

Computational models of location-invariant orthographic processing

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Pages 1-26 | Received 19 Aug 2012, Accepted 30 Apr 2013, Published online: 14 Jun 2013

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Pieter H. de Vries. (2020) Conditions for cognitive self-organisation implied by visual-word processing. Connection Science 32:3, pages 292-332.
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Anna M. Woollams. (2015) Lexical is as lexical does: computational approaches to lexical representation. Language, Cognition and Neuroscience 30:4, pages 395-408.
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Ryan Blything, Valerio Biscione, Ivan I. Vankov, Casimir J. H. Ludwig & Jeffrey S. Bowers. (2021) The human visual system and CNNs can both support robust online translation tolerance following extreme displacements. Journal of Vision 21:2, pages 9.
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Heejo You & James S. Magnuson. (2018) TISK 1.0: An easy-to-use Python implementation of the time-invariant string kernel model of spoken word recognition. Behavior Research Methods 50:3, pages 871-889.
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Jeffrey S. Bowers. (2017) Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences 21:12, pages 950-961.
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Jeffrey S. Bowers, Ivan I. Vankov & Casimir J. H. Ludwig. (2015) The visual system supports online translation invariance for object identification. Psychonomic Bulletin & Review 23:2, pages 432-438.
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Jonathan Grainger & Thomas Hannagan. (2014) What is special about orthographic processing?. Written Language & Literacy Written Language and Literacy 17:2, pages 225-252.
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Thomas Hannagan & Jonathan Grainger. (2013) The Lazy Visual Word Form Area: Computational Insights into Location-Sensitivity. PLoS Computational Biology 9:10, pages e1003250.
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