MUC（记忆、统一、控制）及超越。
MUC (Memory, Unification, Control) and beyond.
机构信息
Donders Institute for Brain, Cognition and Behaviour, Max Planck Institute for Psycholinguistics, Radboud University Nijmegen Nijmegen, Netherlands.
出版信息
Front Psychol. 2013 Jul 12;4:416. doi: 10.3389/fpsyg.2013.00416. eCollection 2013.
Abstract
A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension of the model beyond the classical core regions for language is shown. The attention network and the network for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content. It is shown that this requires the dynamic interaction between multiple brain regions.
摘要
讨论了一种神经生物学语言模型，该模型克服了经典的 Wernicke-Lichtheim-Geschwind 模型的缺点。它基于语言处理的三个组成部分的细分：记忆、统一和控制。讨论了模型的功能组件以及神经生物学基础。此外，还表明需要将模型扩展到经典语言核心区域之外。注意力网络和推理处理网络对于实现超越单个单词处理和超越命题内容解码的语言理解至关重要。结果表明，这需要多个大脑区域之间的动态交互。
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