Neuroplasticity of Language Networks

语言网络的神经可塑性

• 批准号: 327540-2012
• 负责人: Newman, Aaron
• 金额: $ 1.82万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595258
• 关键词: Neuroplasticity; Language; Networks

Around the world, people speak thousands of different languages, and as well there are dozens if not hundreds of signed languages that are just as rich and complex as spoken ones. How is it that young children are able to learn such extensive vocabularies of words and complex grammatical rules, and why do some adults have so much trouble while others may speak half a dozen or more languages fluently? Dr. Aaron Newman and a team of students at Dalhousie University use advanced neuroimaging tools in the quest to answer these and other questions. Their ultimate goal is to not only understand how new languages are learned, but to use this brain imaging data to design the next generation of language training software.

在世界各地，人们说数千种不同的语言，也有数十种甚至数百种手语，它们与口语一样丰富和复杂。为什么年幼的孩子能够学习如此广泛的词汇量和复杂的语法规则，为什么一些成年人会有这么多困难，而另一些人可能会流利地说六种或更多语言？达尔豪西大学的亚伦·纽曼博士和一组学生使用先进的神经成像工具来回答这些和其他问题。他们的最终目标不仅是了解新语言是如何学习的，而且要利用这些大脑成像数据来设计下一代语言训练软件。