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Graphemes are used when reading: Evidence from Monte Carlo simulation using word norms from mega-studies ...
Perry, Conrad. - : SAGE Journals, 2022
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Graphemes are used when reading: Evidence from Monte Carlo simulation using word norms from mega-studies ...
Perry, Conrad. - : SAGE Journals, 2022
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3
Using electrophysiological correlates of early semantic priming to test models of reading aloud
In: Sci Rep (2022)
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4
What Is Going on with Visual Attention in Reading and Dyslexia? A Critical Review of Recent Studies
In: Brain Sci (2022)
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5
It’s the words you use and how you say them: electrophysiological correlates of the perception of imitated masculine speech ...
Walker, Megan; Perry, Conrad. - : Taylor & Francis, 2021
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6
It’s the words you use and how you say them: electrophysiological correlates of the perception of imitated masculine speech ...
Walker, Megan; Perry, Conrad. - : Taylor & Francis, 2021
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7
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
In: ISSN: 0963-7214 ; EISSN: 1467-8721 ; Current Directions in Psychological Science ; https://hal-amu.archives-ouvertes.fr/hal-02566111 ; Current Directions in Psychological Science, Association for Psychological Science, 2020, pp.096372142091587. ⟨10.1177/0963721420915873⟩ (2020)
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8
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
In: Current Directions in Psychological Science, Vol. 29, no. 3 (Jun 2020), pp. 293-300 (2020)
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9
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
In: Curr Dir Psychol Sci (2020)
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10
Understanding Dyslexia Through Personalized Large-Scale Computational Models
In: ISSN: 0956-7976 ; Psychological Science ; https://hal-amu.archives-ouvertes.fr/hal-02011721 ; Psychological Science, Association for Psychological Science, 2019, pp.1-10. ⟨10.1177/0956797618823540⟩ (2019)
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11
Modeling the Variability of Developmental Dyslexia
In: Developmental Dyslexia across Languages and Writing Systems ; https://hal-amu.archives-ouvertes.fr/hal-02308934 ; Developmental Dyslexia across Languages and Writing Systems, Cambridge University Press, pp.350-371, 2019, ⟨10.1017/9781108553377.016⟩ (2019)
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12
Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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13
Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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14
Understanding dyslexia through personalized large-scale computational models
In: Psychological Science, Vol. 30, no. 3 (Feb 2019), pp. 386-395 (2019)
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15
Modeling the variability of developmental dyslexia
In: Developmental dyslexia across languages and writing systems / Ludo Verhoeven, Charles Perfetti and Kenneth Pugh (eds.), pp. 350-371 (2019)
Abstract: Reading is a highly complex task that relies on the integration of visual, orthographic, phonological and semantic information. This complexity is clearly reflected in current computational models of reading (Coltheart et al., 2001; Harm & Seidenberg, 1999, 2004; Perry, Ziegler, & Zorzi, 2007, 2010; Plaut et al., 1996). These models specify the “ingredients” of the reading process in a precise and detailed fashion as they implement the units and computations that are necessary to go from the visual information to word recognition and word production. Such models make it possible to simulate real reading performance in terms of reading latencies (how long it takes to compute the pronunciation of a word or pseudoword) and reading accuracy (whether the output of the model is correct). Computational models are particularly well suited to helping us understand reading impairments, such as developmental or acquired dyslexia.
URL: http://hdl.handle.net/1959.3/459515
https://doi.org/10.1017/9781108553377.016
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16
Working memory load affects early affective responses to concrete and abstract words differently: Evidence from ERPs
In: Cognitive, Affective, & Behavioral Neuroscience, Vol. 19, no. 2 (Apr 2019), pp. 377-391 (2019)
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17
Understanding Dyslexia Through Personalized Large-Scale Computational Models
Perry, Conrad; Zorzi, Marco; Ziegler, Johannes C.. - : SAGE Publications, 2019
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18
Testing predictions about the processing of word stress in reading using event-related potentials
In: Language, Cognition and Neuroscience, Vol. 33, no. 4 (2018), pp. 424-442 (2018)
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19
Testing predictions about the processing of word stress in reading using event-related potentials ...
Perry, Conrad. - : Taylor & Francis, 2017
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20
Testing predictions about the processing of word stress in reading using event-related potentials ...
Perry, Conrad. - : Taylor & Francis, 2017
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