20 Years of Computational Models of Reading and Dylexia : What Have We Learned?

old_uid4562
title20 Years of Computational Models of Reading and Dylexia : What Have We Learned?
start_date2008/04/09
schedule11h
onlineno
location_infogche, 1e étage, salle Paul Lapie
summaryReading is one of the highest expressions of human intelligence. For some years now, researchers have been using computational models as a way to understand skilled reading, learning to read, and the brain circuits that support reading. For this talk I will look at three major computational frameworks: the connectionist, "triangle" models that we have developed; the "dual-route" models developed by Coltheart and colleagues; and the "hybrid" models developed by Zorzi, Ziegler and others. Have these models contributed to deeper understanding of reading and dyslexia? What is their future given the availability of attractive empirical methods such as neuroimaging and advances in understanding the genetic bases of dyslexia? The answers to these questions have broader implications concerning the role of computational models in cognitive science and neuroscience.
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