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On a Quantum Model of Brain Activities - Distribution of the Outcomes of EEG-Measurements and Random Point Fields

机译:关于大脑活动的量子模型-脑电测量结果和随机点场的分布

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摘要

Considering models based on classical probability theory, states of signals in the brain should be identified with probability distributions of certain random point fields representing the configuration of excited neurons. Then the outcomes of EEG-measurements can be considered as random variables being certain functions of that random point field. In practice, specialists use certain statistical methods evaluating the outcomes of the sequence of these measurements. To make these statistical investigations precise, one should know the distribution of the stochastic process on the space of point configurations representing the time evolution of the configuration of excited neurons in the brain. Up to now that distribution is totally unknown. In this paper we consider time evolutions of random point fields as well as the distribution of the outcomes of EEG-measurements related to unitary evolutions of certain quantum states used in [4, 5,10-14] in order to describe activities of the brain.
机译:考虑基于经典概率论的模型,应使用代表兴奋神经元配置的某些随机点场的概率分布来识别大脑中的信号状态。然后,脑电测量的结果可以被认为是随机变量,是该随机点场的某些函数。在实践中,专家使用某些统计方法评估这些测量序列的结果。为了使这些统计研究更加精确,人们应该知道随机过程在点配置空间上的分布,该空间代表大脑中兴奋神经元配置的时间演化。到目前为止,这种分布是完全未知的。在本文中,我们考虑了随机点场的时间演化以及与[4,5,10-14]中使用的某些量子态的单位演化有关的EEG测量结果的分布,以描述大脑的活动。 。

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  • 来源
    《Open Systems & Information Dynamics》 |2012年第4期|1250025.1-1250025.19|共19页
  • 作者单位

    Friedrich-Schiller-Universitaet Jena, School of Mathematics and Computer Science, Institute of Applied Mathematics, 07737 Jena, Germany;

    Department of Electrical Engineering, Tokyo University of Science, Yamaguchi, Sanyo-Onoda, Yamaguchi 756-0884, Japan;

    Department of Information Sciences, Tokyo University of Science, Noda City, Chiba 278-8510, Japan;

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