The past decade has seen major advances in our understanding of the neurobiology of reading. However, this understanding is based almost exclusively on performance of groups of individuals; our understanding of individual variation is poor. This project will develop a new theory of individual variation in reading using sophisticated neural network models, and will test and refine this theory in a series of behavioural and fMRI studies. This project will permit new insight into why some individuals struggle to learn to read, and it will develop new methods for relating neural activation to sophisticated computational models of human cognition.
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