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Graphemes are used when reading: Evidence from Monte Carlo simulation using word norms from mega-studies ...
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Graphemes are used when reading: Evidence from Monte Carlo simulation using word norms from mega-studies ...
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Using electrophysiological correlates of early semantic priming to test models of reading aloud
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In: Sci Rep (2022)
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What Is Going on with Visual Attention in Reading and Dyslexia? A Critical Review of Recent Studies
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In: Brain Sci (2022)
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It’s the words you use and how you say them: electrophysiological correlates of the perception of imitated masculine speech ...
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It’s the words you use and how you say them: electrophysiological correlates of the perception of imitated masculine speech ...
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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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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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Current Directions in Psychological Science, Vol. 29, no. 3 (Jun 2020), pp. 293-300 (2020)
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Abstract:
How do children learn to read? How do deficits in various components of the reading network affect learning outcomes? How does remediating one or several components change reading performance? In this article, we summarize what is known about learning to read and how this can be formalized in a developmentally plausible computational model of reading acquisition. The model is used to understand normal and impaired reading development (dyslexia). In particular, we show that it is possible to simulate individual learning trajectories and intervention outcomes on the basis of three component skills: orthography, phonology, and vocabulary. We therefore advocate a multifactorial computational approach to understanding reading that has practical implications for dyslexia and intervention.
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URL: https://doi.org/10.1177/0963721420915873 http://hdl.handle.net/1959.3/455848
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Curr Dir Psychol Sci (2020)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models
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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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Modeling the Variability of Developmental Dyslexia
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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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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding dyslexia through personalized large-scale computational models
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In: Psychological Science, Vol. 30, no. 3 (Feb 2019), pp. 386-395 (2019)
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Modeling the variability of developmental dyslexia
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In: Developmental dyslexia across languages and writing systems / Ludo Verhoeven, Charles Perfetti and Kenneth Pugh (eds.), pp. 350-371 (2019)
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Working memory load affects early affective responses to concrete and abstract words differently: Evidence from ERPs
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In: Cognitive, Affective, & Behavioral Neuroscience, Vol. 19, no. 2 (Apr 2019), pp. 377-391 (2019)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models
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Testing predictions about the processing of word stress in reading using event-related potentials
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In: Language, Cognition and Neuroscience, Vol. 33, no. 4 (2018), pp. 424-442 (2018)
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Testing predictions about the processing of word stress in reading using event-related potentials ...
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Testing predictions about the processing of word stress in reading using event-related potentials ...
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