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Linking language and cognition to neuroscience via computation

通过计算将语言和认知与神经科学联系起来

基本信息

批准号：
1249922
负责人：
David Poeppel
金额：
$ 4.95万
依托单位：
New York University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2013-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1249922&HistoricalAwards=false
关键词：
Linking language cognition neuroscience via

项目摘要

The past decade has seen an explosion of information concerning the neuroscience of language and other cognitive processes. We now have quite reasonable 'brain maps' that specify where in the brain the major operations occur that underlie various aspects of language processing. However, the relation between language and the brain is still at best understood at a correlational level. There is no explanatory understanding of how specialized neural circuits account for the implementation of the specific operations that underpin linguistic computations and representations. The emphasis of this workshop is to bring together experts from various fields (e.g., neuroscience, cognitive science, linguistics, computer science, and psychology) to identify new directions in the computational neurobiology of language. There are two intended outcomes. First, the workshop should stimulate new scientific collaborations that use computation to connect cognition/language and neuroscience. Second, participants will write a "white paper" that (i) summarizes key ideas, problems, and prospects for research in this interdisciplinary area of inquiry and (ii) identifies and recommends promising questions and methodological tools for future work in cognitive neuroscience, with a special emphasis on speech and language processing.

在过去的十年里，关于语言和其他认知过程的神经科学的信息爆炸。我们现在有了相当合理的“大脑地图”，它指明了大脑中的主要操作发生在哪里，这些操作是语言处理的各个方面的基础。然而，语言和大脑之间的关系仍然是在相关水平上理解的。对于专门的神经回路如何解释支持语言计算和表征的特定操作的实现，没有解释性的理解。该讲习班的重点是汇集来自各个领域的专家（例如，神经科学，认知科学，语言学，计算机科学和心理学），以确定语言的计算神经生物学的新方向。有两个预期的结果。首先，研讨会应该鼓励新的科学合作，使用计算来连接认知/语言和神经科学。第二，参与者将写一份“白色文件”，（i）总结关键的想法，问题，并在这个跨学科领域的调查和研究前景（ii）确定和建议有前途的问题和方法工具，为未来的工作在认知神经科学，特别强调语音和语言处理。