Theorems speaking for the asymmetry of all animal brains.

E Lábos
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Abstract

In random graph theory it has been proved that with the increasing size of a graph, the proportion of the non-symmetric graphs increases and this class becomes the dominant one while the number of symmetric cases turns to be 'negligible'. Thus the asymmetry (AS) is the generic property. Since nervous systems are representable by graphs or better with special digraphs, the networks, it follows that the brains are asymmetric in a strong sense according to which all cells are distinguishable from each other alone by their internal connections. Such a consequence holds perfectly only if a random evolution or generation of neural networks is supposed. Thus apparent symmetries have to come from heavily controlled (i.e. non random) ontogenetic processes. At the present time the possible total cellular heterogeneity of the various nervous systems has still unclear functional implications. In small nervous systems the odd number of neurons alone is neither a sufficient nor a necessary condition of the asymmetry in the outlined sense.

证明所有动物大脑不对称的定理。
在随机图论中,已经证明了随着图的大小的增加,非对称图的比例增加,这类图成为优势图,而对称图的数量变得可以忽略不计。因此,不对称(AS)是一般性质。既然神经系统可以用图来表示,或者更好地用特殊的有向图来表示,即网络,那么大脑在很大程度上是不对称的,根据这种不对称,所有的细胞都可以通过它们的内部连接来区分开来。只有假设神经网络是随机进化或生成的,这样的结论才完全成立。因此,明显的对称性必须来自严格控制(即非随机)的个体发生过程。目前,各种神经系统可能的总细胞异质性仍不清楚其功能意义。在小型神经系统中,单是神经元的奇数既不是概述意义上的不对称的充分条件,也不是必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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