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Using computational modeling to understand the interaction between risk and protective factors in reading disability ...
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Using computational modeling to understand the interaction between risk and protective factors in reading disability ...
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Abstract:
Computational simulations of learning to read in the “triangle model” framework have contributed to our understanding of typical and atypical reading development. Manipulations of simulation parameters, such as the degree of noise in the phonological system, the number of processing (hidden) units, and the rate of learning have been used to show how differences in relevant perceptual and cognitive capacities can contribute to different forms of reading disability. Here we examine how graded, orthogonal variability in these “control parameters” influences performance across a broad range. We considered how variability in these parameters interact to produce different patterns of performance across a range of word and pseudoword stimuli over the course of training. Results were broadly consistent with expectations — noise in the phonological layer leads to worse performance on pseudowords and restricting the number of hidden units lead to worse performance for inconsistent words. One surprising result was that ...
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Keyword:
Capsule; computational modeling; individual differences; reading disability; Social Sciences; triangle model
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URL: https://codeocean.com/capsule/4507067/tree/v2
https://dx.doi.org/10.24433/co.1821081.v2
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Cognitive-linguistic profiles of Chinese typical-functioning adolescent dyslexics and high-functioning dyslexics
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