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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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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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Abstract:
Learning to read is foundational for literacy development, yet many children in primary school fail to become efficient readers despite normal intelligence and schooling. This condition, referred to as developmental dyslexia, has been hypothesized to occur because of deficits in vision, attention, auditory and temporal processes, and phonology and language. Here, we used a developmentally plausible computational model of reading acquisition to investigate how the core deficits of dyslexia determined individual learning outcomes for 622 children (388 with dyslexia). We found that individual learning trajectories could be simulated on the basis of three component skills related to orthography, phonology, and vocabulary. In contrast, single-deficit models captured the means but not the distribution of reading scores, and a model with noise added to all representations could not even capture the means. These results show that heterogeneity and individual differences in dyslexia profiles can be simulated only with a personalized computational model that allows for multiple deficits.
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URL: https://doi.org/10.1177/0956797618823540
http://hdl.handle.net/1959.3/447863
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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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