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  1. The Emergence of Adaptive Eye Movements in Reading.Yanping Liu & Erik D. Reichle - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1136--1141.
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  • The Contribution of Phonological Awareness to Reading Fluency and Its Individual Sub-Skills in Readers Aged 9- to 12-Years. [REVIEW]Zena Elhassan, Sheila G. Crewther & Edith L. Bavin - 2017 - Frontiers in Psychology 8.
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  • The Eye-Voice Span During Reading Aloud.Jochen Laubrock & Reinhold Kliegl - 2015 - Frontiers in Psychology 6.
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  • Orthographic Consistency and Parafoveal Preview Benefit: A Resource-Sharing Account of Language Differences in Processing of Phonological and Semantic Codes.Jochen Laubrock & Sven Hohenstein - 2012 - Behavioral and Brain Sciences 35 (5):292-293.
    Parafoveal preview benefit is an implicit measure of lexical activation in reading. PB has been demonstrated for orthographic and phonological but not for semantically related information in English. In contrast, semantic PB is obtained in German and Chinese. We propose that these language differences reveal differential resource demands and timing of phonological and semantic decoding in different orthographic systems.
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  • The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed‐Accuracy Trade‐Offs.Richard L. Lewis, Michael Shvartsman & Satinder Singh - 2013 - Topics in Cognitive Science 5 (3):581-610.
    We explore the idea that eye-movement strategies in reading are precisely adapted to the joint constraints of task structure, task payoff, and processing architecture. We present a model of saccadic control that separates a parametric control policy space from a parametric machine architecture, the latter based on a small set of assumptions derived from research on eye movements in reading (Engbert, Nuthmann, Richter, & Kliegl, 2005; Reichle, Warren, & McConnell, 2009). The eye-control model is embedded in a decision architecture (a (...)
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  • A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading.Xiaoming Wang, Xinbo Zhao & Jinchang Ren - 2019 - Complexity 2019:1-12.
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  • Tracking the Mind During Reading: The Influence of Past, Present, and Future Words on Fixation Durations.Reinhold Kliegl, Antje Nuthmann & Ralf Engbert - 2006 - Journal of Experimental Psychology: General 135 (1):12-35.
  • An Anatomically Constrained, Stochastic Model of Eye Movement Control in Reading.Scott A. McDonald, R. H. S. Carpenter & Richard C. Shillcock - 2005 - Psychological Review 112 (4):814-840.
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  • SWIFT: A Dynamical Model of Saccade Generation During Reading.Ralf Engbert, Antje Nuthmann, Eike M. Richter & Reinhold Kliegl - 2005 - Psychological Review 112 (4):777-813.
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  • Extending the E‐Z Reader Model of Eye Movement Control to Chinese Readers.Keith Rayner, Xingshan Li & Alexander Pollatsek - 2007 - Cognitive Science 31 (6):1021-1033.
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  • Encoder: A Connectionist Model of How Learning to Visually Encode Fixated Text Images Improves Reading Fluency.Gale L. Martin - 2004 - Psychological Review 111 (3):617-639.
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  • On the Development of Parafoveal Preprocessing: Evidence From the Incremental Boundary Paradigm.Christina Marx, Florian Hutzler, Sarah Schuster & Stefan Hawelka - 2016 - Frontiers in Psychology 7.
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  • Task Effects Reveal Cognitive Flexibility Responding to Frequency and Predictability: Evidence From Eye Movements in Reading and Proofreading.Elizabeth R. Schotter, Klinton Bicknell, Ian Howard, Roger Levy & Keith Rayner - 2014 - Cognition 131 (1):1-27.
  • A Dual-Route Perspective on Eye Movements of Dyslexic Readers.Stefan Hawelka, Benjamin Gagl & Heinz Wimmer - 2010 - Cognition 115 (3):367-379.
  • The Prosodic Property of Lexical Stress Affects Eye Movements During Silent Reading.Jane Ashby & Charles Clifton Jr - 2005 - Cognition 96 (3):B89-B100.
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  • Sensitivity to Syntax in Visual Cortex.Liina Pylkkänen Suzanne Dikker, Hugh Rabagliati - 2009 - Cognition 110 (3):293.
  • Phonological Typicality and Sentence Processing.Michael K. Tanenhaus & Mary Hare - 2007 - Trends in Cognitive Sciences 11 (3):93-95.
  • Semantic Similarity, Predictability, and Models of Sentence Processing.Douglas Roland, Hongoak Yun, Jean-Pierre Koenig & Gail Mauner - 2012 - Cognition 122 (3):267-279.
  • Orthographic Units in the Absence of Visual Processing: Evidence From Sublexical Structure in Braille.Simon Fischer-Baum & Robert Englebretson - 2016 - Cognition 153:161-174.
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  • Universality in Eye Movements and Reading: A Trilingual Investigation.Simon P. Liversedge, Denis Drieghe, Xin Li, Guoli Yan, Xuejun Bai & Jukka Hyönä - 2016 - Cognition 147:1-20.
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  • Lexical Predictability During Natural Reading: Effects of Surprisal and Entropy Reduction.Matthew W. Lowder, Wonil Choi, Fernanda Ferreira & John M. Henderson - 2018 - Cognitive Science 42 (S4):1166-1183.
    What are the effects of word-by-word predictability on sentence processing times during the natural reading of a text? Although information complexity metrics such as surprisal and entropy reduction have been useful in addressing this question, these metrics tend to be estimated using computational language models, which require some degree of commitment to a particular theory of language processing. Taking a different approach, this study implemented a large-scale cumulative cloze task to collect word-by-word predictability data for 40 passages and compute surprisal (...)
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  • The Bayesian Reader: Explaining Word Recognition as an Optimal Bayesian Decision Process.Dennis Norris - 2006 - Psychological Review 113 (2):327-357.
  • Developmental Dyslexia: The Visual Attention Span Deficit Hypothesis.Marie-Line Bosse, Marie Josèphe Tainturier & Sylviane Valdois - 2007 - Cognition 104 (2):198-230.
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  • Simple Co‐Occurrence Statistics Reproducibly Predict Association Ratings.Markus J. Hofmann, Chris Biemann, Chris Westbury, Mariam Murusidze, Markus Conrad & Arthur M. Jacobs - 2018 - Cognitive Science 42 (7):2287-2312.
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  • Visual Aspects of Reading Performance in Myalgic Encephalomyelitis.Rachel L. Wilson, Kevin B. Paterson, Victoria McGowan & Claire V. Hutchinson - 2018 - Frontiers in Psychology 9.
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  • Using Reinforcement Learning to Examine Dynamic Attention Allocation During Reading.Yanping Liu, Erik D. Reichle & Ding‐Guo Gao - 2013 - Cognitive Science 37 (8):1507-1540.
    A fundamental question in reading research concerns whether attention is allocated strictly serially, supporting lexical processing of one word at a time, or in parallel, supporting concurrent lexical processing of two or more words (Reichle, Liversedge, Pollatsek, & Rayner, 2009). The origins of this debate are reviewed. We then report three simulations to address this question using artificial reading agents (Liu & Reichle, 2010; Reichle & Laurent, 2006) that learn to dynamically allocate attention to 1–4 words to “read” as efficiently (...)
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  • Parafoveal Processing During Reading is Reduced Across a Morphological Boundary.Denis Drieghe, Alexander Pollatsek, Barbara J. Juhasz & Keith Rayner - 2010 - Cognition 116 (1):136-142.
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  • Eye Movements and Processing Difficulty in Object Relative Clauses.Adrian Staub - 2010 - Cognition 116 (1):71-86.
  • Encoding Multiple Words Simultaneously in Reading is Implausible.Erik D. Reichle, Simon P. Liversedge, Alexander Pollatsek & Keith Rayner - 2009 - Trends in Cognitive Sciences 13 (3):115-119.
    Several prominent models of reading posit that attention is distributed to support the parallel lexical processing of multiple words. We contend that the auxiliary assumptions underlying this attention-gradient hypothesis are not well founded. Here, we address three specific issues related to the ongoing debate about attention allocation during reading: (i) why the attention-gradient hypothesis is widely endorsed, (ii) why processing several words in parallel in reading is implausible and (iii) why attention must be allocated to only one word at a (...)
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  • The Concrete Universal and Cognitive Science.Richard Shillcock - 2014 - Axiomathes 24 (1):63-80.
    Cognitive science depends on abstractions made from the complex reality of human behaviour. Cognitive scientists typically wish the abstractions in their theories to be universals, but seldom attend to the ontology of universals. Two sorts of universal, resulting from Galilean abstraction and materialist abstraction respectively, are available in the philosophical literature: the abstract universal—the one-over-many universal—is the universal conventionally employed by cognitive scientists; in contrast, a concrete universal is a material entity that can appear within the set of entities it (...)
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  • Sensitivity to Syntax in Visual Cortex.Suzanne Dikker, Hugh Rabagliati & Liina Pylkkänen - 2009 - Cognition 110 (3):293-321.
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  • Gaze Step Distributions Reflect Fixations and Saccades: A Comment On.Richard S. Bogartz & Adrian Staub - 2012 - Cognition 123 (2):325-334.
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  • Using Reinforcement Learning to Understand the Emergence of "Intelligent" Eye-Movement Behavior During Reading.Erik D. Reichle & Patryk A. Laurent - 2006 - Psychological Review 113 (2):390-408.
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  • Processing of “Unattended” Threat-Related Information: Role of Emotional Content and Context.Manuel G. Calvo, M. Dolores Castillo & Luis J. Fuentes - 2006 - Cognition and Emotion 20 (8):1049-1074.
  • Altered Connectivity of the Dorsal and Ventral Visual Regions in Dyslexic Children: A Resting-State fMRI Study.Wei Zhou, Zhichao Xia, Yanchao Bi & Hua Shu - 2015 - Frontiers in Human Neuroscience 9.
  • An Analysis of the Time Course of Lexical Processing During Reading.Heather Sheridan & Erik D. Reichle - 2016 - Cognitive Science 40 (3):522-553.
    Reingold, Reichle, Glaholt, and Sheridan reported a gaze-contingent eye-movement experiment in which survival-curve analyses were used to examine the effects of word frequency, the availability of parafoveal preview, and initial fixation location on the time course of lexical processing. The key results of these analyses suggest that lexical processing begins very rapidly and is supported by substantial parafoveal processing. Because it is not immediately obvious that these results are congruent with the theoretical assumption that words are processed and identified in (...)
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  • Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization.Richard L. Lewis, Andrew Howes & Satinder Singh - 2014 - Topics in Cognitive Science 6 (2):279-311.
    We propose a framework for including information-processing bounds in rational analyses. It is an application of bounded optimality (Russell & Subramanian, 1995) to the challenges of developing theories of mechanism and behavior. The framework is based on the idea that behaviors are generated by cognitive mechanisms that are adapted to the structure of not only the environment but also the mind and brain itself. We call the framework computational rationality to emphasize the incorporation of computational mechanism into the definition of (...)
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