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The brain dynamics of linguistic computation

机译:语言计算的大脑动力学

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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.
机译:在不同频率的神经振荡越来越多地与许多基础和高级认知能力有关。振荡通过建立短暂的时间相关性,使构造连贯的神经元组件成为可能。通过探索语言系的基本操作-标签,串联,循环传递-以及神经动力学,提出了一种新的语言计算模型。有人认为,语言的普遍性和普遍语法的真正生物学来源不能像长期以来一直单纯地在基因组中发现的那样,而是更具体地存在于用于计算人类行为的哺乳动物脑节律的特别保留的性质中。语言结构。计算表示理论被用作研究人类“认知”的神经生物学基础(由神经系统执行的一系列计算)的指南,并为脑部动力学(“动态组”)的工作方式提出了新的方向并执行语言操作。在现有的关于语言解释本地化的制图研究背景下,考虑了脑节律在多大程度上适合了可以捕获人类语言能力的计算特性的神经元过程。特别关注标签,其他地方的操作被认为是特定于物种的。提出了人类认知动力学的基本标签模型,从而得出清晰的,因果可寻址的经验预测,并将通过建议的研究程序“动态同源性”进行研究。此外,引入了最小和最大解释度之间的区别,以区分制图,节奏,神经化学和其他计算方法提供的分析深度。

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