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语言计算的大脑动力学。

The brain dynamics of linguistic computation.

作者信息

Murphy Elliot

机构信息

Division of Psychology and Language Sciences, University College London London, UK.

出版信息

Front Psychol. 2015 Oct 13;6:1515. doi: 10.3389/fpsyg.2015.01515. eCollection 2015.

Abstract

Neural oscillations at distinct frequencies are increasingly being related to a number of basic and higher cognitive faculties. Oscillations enable the construction of coherently organized neuronal assemblies through establishing transitory temporal correlations. By exploring the elementary operations of the language faculty-labeling, concatenation, cyclic transfer-alongside neural dynamics, a new model of linguistic computation is proposed. It is argued that the universality of language, and the true biological source of Universal Grammar, is not to be found purely in the genome as has long been suggested, but more specifically within the extraordinarily preserved nature of mammalian brain rhythms employed in the computation of linguistic structures. Computational-representational theories are used as a guide in investigating the neurobiological foundations of the human "cognome"-the set of computations performed by the nervous system-and new directions are suggested for how the dynamics of the brain (the "dynome") operate and execute linguistic operations. The extent to which brain rhythms are the suitable neuronal processes which can capture the computational properties of the human language faculty is considered against a backdrop of existing cartographic research into the localization of linguistic interpretation. Particular focus is placed on labeling, the operation elsewhere argued to be species-specific. A Basic Label model of the human cognome-dynome is proposed, leading to clear, causally-addressable empirical predictions, to be investigated by a suggested research program, Dynamic Cognomics. In addition, a distinction between minimal and maximal degrees of explanation is introduced to differentiate between the depth of analysis provided by cartographic, rhythmic, neurochemical, and other approaches to computation.

摘要

不同频率的神经振荡越来越多地与许多基本和高级认知能力相关联。振荡通过建立短暂的时间相关性,使得连贯组织的神经元集合得以构建。通过探索语言官能的基本操作——标记、连接、循环转移——以及神经动力学,提出了一种新的语言计算模型。有人认为,语言的普遍性以及普遍语法的真正生物学来源,并非如长期以来所认为的那样纯粹存在于基因组中,而是更具体地存在于用于语言结构计算的哺乳动物脑节律的异常保守性质之中。计算表征理论被用作研究人类“认知组”(神经系统执行的一组计算)神经生物学基础的指南,并就大脑动力学(“动力组”)如何运作和执行语言操作提出了新的方向。在现有的语言解释定位地图研究背景下,考虑了脑节律在何种程度上是能够捕捉人类语言官能计算特性的合适神经元过程。特别关注标记,这一操作在其他地方被认为是特定物种的。提出了人类认知组 - 动力组的基本标记模型,从而得出清晰的、可因果探究的实证预测,有待一个建议的研究项目“动态认知学”进行研究。此外,引入了最小和最大解释程度之间的区别,以区分由地图学、节律学、神经化学和其他计算方法提供的分析深度。

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