Learning how people read: Models, brains, big data and maths

目的：这个项目旨在了解人们是如何阅读的。我们将使用新颖的数学方法、实验、脑成像和计算建模来判断模型预测之间的关系。

Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions. Significance: This project expects to develop methods to understand and test important aspects of reading. Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading. Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.