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大脑动力学已经进化了吗?我们应该在有智慧的物种中寻找独特的动力学吗?

Have brain dynamics evolved? Should we look for unique dynamics in the sapient species?

作者信息

Bullock Theodore Holmes

机构信息

Department of Neurosciences and Neurobiology Unit, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093-0240, U.S.A.

出版信息

Neural Comput. 2003 Sep;15(9):2013-27. doi: 10.1162/089976603322297269.

DOI:10.1162/089976603322297269
PMID:12959663
Abstract

Ongoing "spontaneous" electrical field potentials of assemblies of neurons in the brains of diverse animal groups differ widely in character and amplitude without obvious explanation. There may be correlates with other measures of brain complexity, such as histological differentiation, but so far there are no known differences between the EEGs of humans and other mammals or between mammals and reptiles, amphibians or fish, apart from amplitude. The proposition is defended that further search for descriptors or statistical, probably nonlinear features of the time series will reveal consistent differences, meaning that we have so far missed major features of the natural history of EEGs, just as we have thus far relatively neglected the identification of features of the physiology of the brain relevant to its evolution of complexity through major grades of phyla, classes, and orders.

摘要

不同动物群体大脑中神经元集合的持续“自发”电场电位在特征和幅度上差异很大,且没有明显的解释。它们可能与大脑复杂性的其他指标相关,比如组织学分化,但到目前为止,除了幅度之外,人类与其他哺乳动物的脑电图之间,以及哺乳动物与爬行动物、两栖动物或鱼类的脑电图之间,没有已知的差异。有人认为,进一步寻找时间序列的描述符或统计特征(可能是非线性特征)将揭示出一致的差异,这意味着我们迄今为止错过了脑电图自然史的主要特征,就像我们目前相对忽视了识别与大脑通过门、纲和目等主要分类等级实现复杂性进化相关的生理特征一样。

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