Abstract
We investigate the possibility of incorporating the sequential dynamics of a ‘Competitive Queuing’ system in a multi-layer perceptron (MLP) architecture. The approach is applied to a model of output processes in spelling, and we show that it provides an explanation for so-called ‘Graphemic Buffer Disorder’. We describe a patient with an apparently novel dysgraphia affecting the start of words, and show that this can also be explained in terms of a simple manipulation to the model.
This work was supported by a grant from the McDonnell-Pew Program in Cognitive Neuroscience.
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Glasspool, D.W., Shallice, T., Cipolotti, L. (1999). Neuropsychologically plausible sequence generation in a multi-layer network model of spelling. In: Heinke, D., Humphreys, G.W., Olson, A. (eds) Connectionist Models in Cognitive Neuroscience. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0813-9_4
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DOI: https://doi.org/10.1007/978-1-4471-0813-9_4
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