Center for Nonlinear Science, Department of Physics, University of North Texas, 1155 Union Circle, #311427, Denton, TX 76203-5017, USA.
Department of Electrical and Computer Engineering, University of Manitoba, 75A Chancellor's Circle, Winnipeg, MBR3T 5V6, Canada; Department of Mathematics, AdıyamanUniversity, 02040 Adıyaman, Turkey; Department of Mathematics, Faculty of Arts and Sciences, AdıyamanUniversity, 02040 Adıyaman, Turkey; Computational Intelligence Laboratory, University of Manitoba, WPG, MB, R3T 5V6, Canada.
Prog Biophys Mol Biol. 2018 Dec;140:133-141. doi: 10.1016/j.pbiomolbio.2018.05.010. Epub 2018 May 24.
The discrepancy between syntax and semantics is a painstaking issue that hinders a better comprehension of the underlying neuronal processes in the human brain. In order to tackle the issue, we at first describe a striking correlation between Wittgenstein's Tractatus, that assesses the syntactic relationships between language and world, and Perlovsky's joint language-cognitive computational model, that assesses the semantic relationships between emotions and "knowledge instinct". Once established a correlation between a purely logical approach to the language and computable psychological activities, we aim to find the neural correlates of syntax and semantics in the human brain. Starting from topological arguments, we suggest that the semantic properties of a proposition are processed in higher brain's functional dimensions than the syntactic ones. In a fully reversible process, the syntactic elements embedded in Broca's area project into multiple scattered semantic cortical zones. The presence of higher functional dimensions gives rise to the increase in informational content that takes place in semantic expressions. Therefore, diverse features of human language and cognitive world can be assessed in terms of both the logic armor described by the Tractatus, and the neurocomputational techniques at hand. One of our motivations is to build a neuro-computational framework able to provide a feasible explanation for brain's semantic processing, in preparation for novel computers with nodes built into higher dimensions.
语法和语义之间的差异是一个棘手的问题,它阻碍了我们对人类大脑中潜在神经过程的更好理解。为了解决这个问题,我们首先描述了维特根斯坦的《逻辑哲学论》和珀洛斯基的联合语言认知计算模型之间的惊人关联,前者评估了语言和世界之间的句法关系,后者评估了情感和“知识本能”之间的语义关系。一旦建立了语言的纯逻辑方法和可计算心理活动之间的关联,我们就旨在寻找人类大脑中语法和语义的神经关联。从拓扑学的角度来看,我们认为命题的语义属性是在大脑的功能维度中处理的,而不是在句法维度中处理的。在一个完全可逆的过程中,布洛卡区中的句法元素投射到多个分散的语义皮质区。较高功能维度的存在导致语义表达中发生信息量的增加。因此,可以根据《逻辑哲学论》所描述的逻辑盔甲和手头的神经计算技术来评估人类语言和认知世界的多种特征。我们的动机之一是构建一个神经计算框架,为大脑的语义处理提供一个可行的解释,为构建具有更高维度节点的新型计算机做准备。