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镜像系统活动对于动作和语言是嵌入在背侧和腹侧通路的整合之中的。

Mirror system activity for action and language is embedded in the integration of dorsal and ventral pathways.

机构信息

University of Southern California Brain Project, Los Angeles, CA 90089-2520, USA.

出版信息

Brain Lang. 2010 Jan;112(1):12-24. doi: 10.1016/j.bandl.2009.10.001. Epub 2009 Nov 25.

Abstract

We develop the view that the involvement of mirror neurons in embodied experience grounds brain structures that underlie language, but that many other brain regions are involved. We stress the cooperation between the dorsal and ventral streams in praxis and language. Both have perceptual and motor schemas but the perceptual schemas in the dorsal path are affordances linked to specific motor schemas for detailed motor control, whereas the ventral path supports planning and decision making. This frames the hypothesis that the mirror system for words evolved from the mirror system for actions to support words-as-phonological-actions, with semantics provided by the linkage to neural systems supporting perceptual and motor schemas. We stress the importance of computational models which can be linked to the parametric analysis of data and conceptual analysis of these models to support new patterns of understanding of the data. In the domain of praxis, we assess the FARS model of the canonical system for grasping, the MNS models for the mirror system for grasping, and the Augmented Competitive Queuing model that extends the control of action to the opportunistic scheduling of action sequences and also offers a new hypothesis on the role of mirror neurons in self action. Turning to language, we use Construction Grammar as our linguistic framework to get beyond single words to phrases and sentences, and initiate analysis of what brain functions must complement mirror systems to support this functionality.

摘要

我们提出一种观点,即镜像神经元参与具身经验为语言提供基础的大脑结构提供了基础,但还有许多其他大脑区域也参与其中。我们强调实践和语言中背侧流和腹侧流之间的合作。两者都具有感知和运动图式,但背侧路径中的感知图式是与特定运动图式相关的可供性,用于进行详细的运动控制,而腹侧路径则支持规划和决策。这就形成了一个假设,即用于单词的镜像系统是从用于动作的镜像系统进化而来的,以支持作为语音动作的单词,语义则通过与支持感知和运动图式的神经系统的联系来提供。我们强调了计算模型的重要性,这些模型可以与数据的参数分析以及这些模型的概念分析联系起来,以支持对数据的新的理解模式。在实践领域,我们评估了用于抓握的典型系统的 FARS 模型、用于抓握的 MNS 模型,以及扩展了动作控制以实现动作序列的机会调度的增强竞争队列模型,还提出了一个关于镜像神经元在自我动作中的作用的新假设。转向语言,我们使用构式语法作为我们的语言框架,以超越单个单词来分析短语和句子,并开始分析支持这种功能的大脑功能必须补充镜像系统的哪些功能。

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