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首页> 外文期刊>Annals of the New York Academy of Sciences >Signed Language And Human Action Processing:evidence For Functional Constraints On The Human Mirror-neuron System
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Signed Language And Human Action Processing:evidence For Functional Constraints On The Human Mirror-neuron System

机译:手语和人类动作处理:人类镜像神经元系统功能约束的证据

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In the quest to further understand the neural underpinning of human communication, researchers have turned to studies of naturally occurring signed languages used in Deaf communities. The comparison of the commonalities and differences between spoken and signed languages provides an opportunity to determine core neural systems responsible for linguistic communication independent of the modality in which a language is expressed. The present article examines such studies, and in addition asks what we can learn about human languages by contrasting formal visual-gestural linguistic systems (signed languages) with more general human action perception. To understand visual language perception, it is important to distinguish the demands of general human motion processing from the highly task-dependent demands associated with extracting linguistic meaning from arbitrary, conventionalized gestures. This endeavor is particularly important because theorists have suggested close homologies between perception and production of actions and functions of human language and social communication. We review recent behavioral, functional imaging, and neuropsychological studies that explore dissociations between the processing of human actions and signed languages. These data suggest incomplete overlap between the mirror-neuron systems proposed to mediate human action and language.
机译:为了进一步了解人类交流的神经基础,研究人员转向研究聋人社区中自然使用的手语。口语和手语之间的共性和差异的比较提供了一个机会,可以确定负责语言交流的核心神经系统,而与语言的表达方式无关。本文对此类研究进行了考察,并提出了通过将正式的视觉手势语言系统(手语)与更一般的人类行为感知进行对比,我们可以从中学习到关于人类语言的知识。为了理解视觉语言感知,将一般的人类动作处理需求与高度依赖任务的需求(与从任意常规手势提取语言含义相关联)区分开来非常重要。这项工作尤为重要,因为理论家建议在知觉与人类语言的行为和功能以及社会交往之间产生密切的同源性。我们回顾了最近的行为,功能成像和神经心理学研究,这些研究探讨了人类行为处理和手语之间的分离。这些数据表明,提议用来介导人类行为和语言的镜像神经元系统之间不完全重叠。

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