现在，他们已经可以小规模地模拟神经元，以及神经元之间的电化学反应。
On a small scale, they now have the equations to simulate neurons and the electro-chemical reactions between them.
本文在ML数学模型分析的基础上，实现了ML模拟神经元，并对其进行分岔特性分析。
In this thesis, the electronic neuron is implemented based on analysis of ML model and the bifurcation of the Morris-Lecar model is analyzed using the circuit.
模拟单个神经元所需要的计算能力相当于一台笔记本电脑。
To simulate a single neuron takes the computing power equivalent of a laptop.
马克莱姆说，在硅芯片上模拟多个神经元之间的连结实在是太难了。
It is too difficult to simulate the connections between multiple neurons in silicon, Markram said.
两组工作人员都对大批仿制神经元细胞进行模拟并让这些细胞之间互相联系，两个模型都远没达到实时工作。
Both groups are simulating a large number of model neurons and connections between them. Both models run much, much slower than real time.
现在的大脑模型仅仅能够模拟拥有数千个神经元细胞的神经网络，但是这种状况正迅速被改写。
Brain modelers have so far been limited to modeling small networks with only a few thousand neurons, but this is rapidly changing.
目前，这个团队正计划制作一个系统，希望能够可以模拟线虫肌肉细胞的动作，它的神经元行为及电脉冲之间的相互传送。
For the moment, the team is planning systems that will simulate how the worm's muscle cells work, how its neurons behave and how electrical impulses move from one to the other.
本文根据神经元pid自适应控制方法，首先探讨了它的模拟电路的构成方法，并给出了一种电路实现框图。
In this paper, according to a single neuron PID adaptive control approach, the mechanics of its analog circuit is first discussed and a circuit realization block diagram are given.
在人工智能领域，神经网络是指通过将专门的计算设备连接成一个网络，模拟生物神经元，让使它们可以学习数据中潜在统计。
In artificial intelligence, a neural network simulates biological neurons by connecting specialized computing devices into a network, which allow them to learn the underlying statistics of the data.
在实验中，应用该模型模拟了大部分已知皮层神经元的脉冲和簇放电行为。
In experiments, using this model we simulated the spiking and bursting behavior of known types of cortical neurons.
建立了一种基于皮层柱侧抑制机制的神经网络群，模拟大脑皮层柱的神经元点火现象，并利用该神经网络群进行位置跟踪。
The neural network ensembles based on lateral inhibition of cortical columns are built to simulate the neuron firing phenomenon in cortical columns and to be used for position tracking.
本文引入神经元计算的思想，提出了基于模拟退火的二相码选码方法。
In this paper, neural computing is introduced into the field of the selection of binary codes, and a new method based on simulated annealing is proposed.
通过对有源电力滤波器神经元自适应谐波电流检测方法的探讨，提出了一种模拟电路实现方案。
In this paper, according to the neuron adaptive detecting approach of harmonic current for APF, the realization scheme of an analog circuit is first proposed.
我们将此方程的预测与原神经元网络动力学的蒙特卡洛模拟结果进行比较，从而展示了新方程的数值精确性。
We demonstrate the numerical accuracy of our kinetic theory by comparing its results to Monte Carlo simulations of the full integrate-and-fire neuronal network.
以双极神经元的双向联想存储器为例进行了计算机和光电实验模拟。
Results of computer simulation and optical demonstration in case of bipolar bidirectional associative memory are also provided.
本文采用一种新型的三层神经网络，即隐蔽层具有知识神经元的神经网络(NNKBN)模拟带状线电路中的十字交越不连续性。
A novel three-layer neural network with knowledge-based neurons (NNKBN) in hidden layer has been applied to model the crossover discontinuities in stripline circuits.
并对神经元网络方法和数学模拟方法进行讨论，分析了两种方法的优缺点，分“互补法”的建立奠定了基础。
The advantages and disadvantages were analyzed for ANNs and mathematical simulation. A foundation was kid on the establishment of cross over method.
针对非线性模拟量测量问题，提出了基于阈值可变神经元的模拟量检测方法。
A detecting method of analog variable based on variable threshold value neuron method is proposed, which is used for measuring nonlinear 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。
Variable threshold value artificial neuron is that the threshold value of variable threshold value artificial neuron varies along with input and output.
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。
Variable threshold value artificial neuron is that the threshold value of variable threshold value artificial neuron varies along with input and output.
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