Relating the Comprehension Ability to the Neocortex Verbal Areas: A Brief Study

A. Michaud
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Abstract

The purpose of this article is to summarily describe how the discoveries made by Donald Hebb about the manner in which the neocortex multilayer neural networks processes and stores information can explain the relation between our sensory perceptions and the words of articulated languages that we use to describe them. Summary description of how the discoveries made by Paul Chauchard of the relation between level of intelligence and density of the synaptic network of interconnections established during infancy in the verbal areas of the neocortex harmonize with Hebb's discoveries. Summary description of how the automatic correlation mechanics of the neocortex neural network allows the generalization ability discovered by Ivan Pavlov as being due to the use of articulated languages, and how it also explains why the reasoning method defined by Alfred Korzybski is so effective in helping to establish a clearer understanding of our environment, with a summary description of the reasoning mode by successive perceptions of coherences that Korzybski established.
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理解能力与大脑新皮层言语区关系的研究
这篇文章的目的是概括地描述Donald Hebb关于新皮层多层神经网络处理和存储信息的方式的发现如何解释我们的感官知觉和我们用来描述它们的清晰语言之间的关系。简要描述Paul Chauchard关于智力水平和突触网络密度之间的关系的发现在婴儿时期建立在新皮层的语言区域与Hebb的发现是如何一致的。摘要描述了新皮层神经网络的自动关联机制如何使伊万·巴甫洛夫发现的泛化能力得以实现,这是由于使用了清晰的语言,以及它如何解释了为什么阿尔弗雷德·科尔日布斯基(Alfred Korzybski)定义的推理方法在帮助建立对我们环境的更清晰理解方面如此有效,并概述了科尔日布斯基(Korzybski)建立的连续连贯感知的推理模式。
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