The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit ( TLU). 理解神经网络的第一步是从对抽象生物神经开始,并把重点放在阈值逻辑单元(TLU)这一特征上。
The body of a neuron. Acts approximately as a linear threshold element. 神经元的本体,其作用近似于一种线性阀值器件。
The neuron MOS transistor ( also called NeuMOS for short) is a recently invented device with high functionality, which has a number of inputs and threshold voltages. 神经MOS晶体管(简称NeuMOS)是一种多输入多阈值的高功能度新型MOS器件。
We introduce the basic conception of stochastic resonance and coherence resonance subsequently. Base on the Hodgkin-Huxley neuron model, we describe the essential characteristic of Hodgkin-Huxley equation, such as the neu-ronal exciting threshold, phase lock, the bifurcation figure and so on. 随后本文介绍了随机共振和相干共振的一些基本概念,在HodgkinHuxley神经元模型的基础上,给出了Hodgkin-Huxley方程的一些基本特性,比如说神经元的兴奋阈值、相锁定、分叉图等等。
Lastly, an account is given of the significance of the establishment of neuron threshold atlas in the basic researches on neurology and biomedical engineering. 最后叙述了神经阈值图谱建立对神经学基础研究和生物医学工程发展的意义。
Development of the precise neuron-threshold stimulator 精密神经阈值刺激仪的研制
Firstly, a description is made of the concept, characteristics and mechanism of the neuron threshold values, with emphasis on the neuron threshold detecting system and the significance of its clinical application. 本文首先论述了神经阈值的概念、特性和产生机理,强调了神经阈值检测系统及其临床应用意义。
The Software Development for Precision Neuron-threshold Stimulator 精密神经阈值刺激仪系统软件的开发
Finally, based on H-H model of neuron, we simulated the SR to help neuron increasing tactile sensitivity when the stimulating signal is under the threshold via an algorithm to solve nonlinear the H-H equation. 论文最后以神经元H-H方程为基础,采用一种求解H-H非线性方程的算法,初步探索利用随机共振提高触觉神经元阈下触觉信号敏感能力的仿真研究。
Conclusion: The neuron threshold is independent from the duty ratios and is dependent on the dimensions of the neuron diameters. 结论:阈值大小与占空比无关,但与神经粗细有关;
The HH ( Hodgkin-Huxley) model, based on the neuropsychological characteristics, was used to analyze the threshold behavior of realistic neuron axon and the relationship of changes of the parameter and the threshold. 通过寻求HH(Hodgkin-Huxley)模型中参数的变化与阈值变化之间的关系,得到神经元的阈值特性。
Variable threshold value artificial neuron is that the threshold value of variable threshold value artificial neuron varies along with input and output. Moreover, it provides academic basis for solving problems of precise measurement for nonlinear and single value analog signals. 阈值可变人工神经元的阈值随神经元的输入信息和输出结果而变化,为解决单调非线性模拟量精确测量问题提供了理论依据。