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

目标：这个项目旨在了解人们是如何阅读的。我们将使用新的数学方法、实验、脑成像和计算模型来判断模型预测之间的关系。 意义：这个项目期望开发一些方法来理解和测试阅读的重要方面。 预期结果：预期结果是开发理解复杂模型的新方法，并收集可以扩展和证伪当前阅读模型的数据。 好处：这些发展将显著增加我们对人们如何阅读以及阅读困难的原因的理解。这项工作还将为评估复杂的计算心理学模型提供新的方法。

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.