弱极低频电场和磁场的探测模型

Frank S Barnes
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引用次数: 1

摘要

通过类比相控阵天线和接收机,建立了弱电场和弱磁场的探测模型。来自大脑皮层的锥体细胞被证明具有可以建模为天线、混频器放大器和具有求和结输出的神经网络窄带滤波器的元素,这些元素反过来可以调节起搏器细胞的放电速率或正在进行的大脑振荡。对于在时间和空间上相干的信号,信噪比随着所涉及的元素数量的平方根而增加。此外,可以通过增加应用信号频率处正在进行的混沌振荡的功率谱密度来提高信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model for the detection of weak ELF electric and magnetic fields

A model for the detection of weak electric and magnetic fields is developed by analogy to a phased array antenna and receiver. Pyramidal cells from the cortex of the brain are shown to have elements which can be modeled as an antenna, a mixer amplifier, and a neural network narrow band filter with summing junctions output which could, in turn, modulate the firing rate of a pacemaker cell or ongoing brain oscillations. The signal-to-noise ratio is shown to increase for signals which are coherent in time and space with the square root of the number of elements involved. Additionally, the signal-to-noise ratio may be enhanced by increasing the power spectral density of the ongoing chaotic oscillation at the applied signal frequency.

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