23 found
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  1.  8
    Orthographic Processing in Visual Word Recognition: A Multiple Read-Out Model.Jonathan Grainger & Arthur M. Jacobs - 1996 - Psychological Review 103 (3):518-565.
  2.  54
    Unconscious Semantic Priming From Pictures.Roberto Dell'Acqua & Jonathan Grainger - 1999 - Cognition 73 (1):1-15.
  3.  12
    Readers Are Parallel Processors.Joshua Snell & Jonathan Grainger - forthcoming - Trends in Cognitive Sciences.
  4.  19
    A Funny Thing Happened on the Way to Articulation: N400 Attenuation Despite Behavioral Interference in Picture Naming.Trevor Blackford, Phillip J. Holcomb, Jonathan Grainger & Gina R. Kuperberg - 2012 - Cognition 123 (1):84-99.
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  5.  11
    OB1-Reader: A Model of Word Recognition and Eye Movements in Text Reading.Joshua Snell, Sam van Leipsig, Jonathan Grainger & Martijn Meeter - 2018 - Psychological Review 125 (6):969-984.
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  6.  47
    Does the Huamn Mnid Raed Wrods as a Wlohe?Jonathan Grainger & Carol Whitney - 2004 - Trends in Cognitive Sciences 8 (2):58-59.
  7.  32
    A Vision of Reading.Jonathan Grainger, Stéphane Dufau & Johannes C. Ziegler - 2016 - Trends in Cognitive Sciences 20 (3):171-179.
  8. Protein Analysis Meets Visual Word Recognition: A Case for String Kernels in the Brain.Thomas Hannagan & Jonathan Grainger - 2012 - Cognitive Science 36 (4):575-606.
    It has been recently argued that some machine learning techniques known as Kernel methods could be relevant for capturing cognitive and neural mechanisms (Jäkel, Schölkopf, & Wichmann, 2009). We point out that ‘‘String kernels,’’ initially designed for protein function prediction and spam detection, are virtually identical to one contending proposal for how the brain encodes orthographic information during reading. We suggest some reasons for this connection and we derive new ideas for visual word recognition that are successfully put to the (...)
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  9.  26
    The Time Course of Orthographic and Phonological Code Activation in the Early Phases of Visual Word Recognition.Ludovic Ferrand & Jonathan Grainger - 1993 - Bulletin of the Psychonomic Society 31 (2):119-122.
  10.  8
    Spoken Word Recognition Without a TRACE.Thomas Hannagan, James S. Magnuson & Jonathan Grainger - 2013 - Frontiers in Psychology 4.
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  11.  7
    Parallel, Cascaded, Interactive Processing of Words During Sentence Reading.Yun Wen, Joshua Snell & Jonathan Grainger - 2019 - Cognition 189:221-226.
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  12.  19
    Evidence for Multiple Routes in Learning to Read.Jonathan Grainger, Bernard Lété, Daisy Bertand, Stéphane Dufau & Johannes C. Ziegler - 2012 - Cognition 123 (2):280-292.
  13.  96
    Letter Perception: From Pixels to Pandemonium.Jonathan Grainger, Arnaud Rey & Stéphane Dufau - 2008 - Trends in Cognitive Sciences 12 (10):381-387.
  14.  11
    Attentional Modulation of Masked Repetition and Categorical Priming in Young and Older Adults.Ludovic Fabre, Patrick Lemaire & Jonathan Grainger - 2007 - Cognition 105 (3):513-532.
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  15.  12
    Early Goal-Directed Top-Down Influences in the Production of Speech.Kristof Strijkers, Yen Na Yum, Jonathan Grainger & Phillip J. Holcomb - 2011 - Frontiers in Psychology 2.
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  16.  15
    Consciousness Is Not Key in the Serial-Versus-Parallel Debate.Joshua Snell & Jonathan Grainger - 2019 - Trends in Cognitive Sciences 23 (10):814-815.
    In response to our recent claim that ‘Readers are parallel processors’, our peers have voiced several ideas that will undoubtedly help illuminate the road to scientific consensus about the reading brain. Schotter and Payne echo our plea for bridging traditionally isolated literatures. In terms of theory, our model OB1-reader is one attempt to do just that: specifically, it bridges the domains of single word recognition and eye movements in text reading. Equally important is the integration of methodologies, of which Schotter (...)
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  17.  19
    Explaining Word Recognition, Reading, the Universe, and Beyond: A Modest Proposal.Jonathan Grainger & Thomas Hannagan - 2012 - Behavioral and Brain Sciences 35 (5):288-289.
    Frost proposes a new agenda for reading research, whereby cross-linguistic experiments would uncover linguistic universals to be integrated within a universal theory of reading. We reveal the dangers of following such a call, and demonstrate the superiority of the very approach that Frost condemns.
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  18.  12
    Language Effects in Trilinguals: An ERP Study.Xavier Aparicio, Katherine J. Midgley, Phillip J. Holcomb, He Pu, Jean-Marc Lavaur & Jonathan Grainger - 2012 - Frontiers in Psychology 3.
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  19.  4
    The Role of Attention in Word Recognition: Results From OB1‐Reader.Martijn Meeter, Yousri Marzouki, Arthur E. Avramiea, Joshua Snell & Jonathan Grainger - 2020 - Cognitive Science 44 (7).
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  20.  23
    Modeling a Theory Without a Model Theory, or, Computational Modeling “After Feyerabend”.Arthur M. Jacobs & Jonathan Grainger - 1999 - Behavioral and Brain Sciences 22 (1):46-47.
    Levelt et al. attempt to “model their theory” with WEAVER ++. Modeling theories requires a model theory. The time is ripe for a methodology for building, testing, and evaluating computational models. We propose a tentative, five-step framework for tackling this problem, within which we discuss the potential strengths and weaknesses of Levelt et al.'s modeling approach.
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  21.  17
    Visual Word Recognition and Oculomotor Control in Reading.Lynn Huestegge, Jonathan Grainger & Ralph Radach - 2003 - Behavioral and Brain Sciences 26 (4):487-488.
    A central component in the E-Z Reader model is a two-stage word processing mechanism made responsible for both the triggering of eye movements and sequential shifts of attention. We point to problems with both the verbal description of this mechanism and its computational implementation in the simulation. As an alternative, we consider the use of a connectionist processing module in combination with a more indirect form of cognitive eye-movement control.
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  22.  3
    Phoneme‐Order Encoding During Spoken Word Recognition: A Priming Investigation.Sophie Dufour & Jonathan Grainger - 2019 - Cognitive Science 43 (10).
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  23.  6
    The Trouble with Merge: Modeling Speeded Target Detection.Jonathan Grainger - 2000 - Behavioral and Brain Sciences 23 (3):331-332.
    The model of phoneme monitoring proposed by Norris et al. is implausible when implemented in a localist connectionist network. Lexical representations mysteriously inform phoneme decision nodes as to the presence or absence of a target phoneme.
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