Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia

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Abstract

This article discusses cognitive neuropsychological research on acquired dyscalculia (i.e., impaired numerical processing resulting from brain damage), surveying issues of current interest, and illustrating the ways in which analyses of acquired deficits can contribute to an understanding of normal processing. I first review the logic whereby inferences concerning normal cognition are drawn from patterns of impaired performance. I then consider research exploring the general functional architecture of the cognitive numerical processing mechanisms, and finally turn to studies aimed at probing the internal structure and functioning of individual processing components.

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Preparation of this article was supported by NIH grant NS21047, and by the McDonnell-Pew Program in Cognitive Neuroscience. I thank Paul Macaruso for his helpful comments.