类似的神经模拟可能能帮助我们决定，如何才能最好地快速应对变化的事件。
Such neural simulations might help us decide how best to quickly respond to changing events.
他说：“通过直接连接到我们的神经系统，计算机可以收集我们的感觉，并希望能够模拟我们的感觉，这样我们就可以开始开发完整的感觉环境。”
"By linking directly to our nervous system, computers could pick up whatwe feel and, hopefully, simulate feeling too so that we can start to developfull sensory environments," he says.
这项技术已由一群德国研究人员成功模拟，正如《神经工程》杂志报道的那样。
This is what German researchers have successfully simulated, as reported in the Journal of Neural Engineering.
这方面的一个例子是，当数字识别系统工作时会创建一个专门的神经网络，用它来模拟眼睛感知数据的方法。
One example of this when working with digit recognition would be to create a specialized neural network that was designed to mimic the way the eye perceives data.
该设备能够模拟脑自身的神经喜好，因此可以与周边脑组织相互联系，形成记忆。
The device can mimic the brain's own neural signals, thereby serving as a surrogate for a piece of the brain associated with forming memories.
早期的CluE项目将包括大脑和神经系统的模拟以及其他在湿件和软件之间的生物研究。
Early CluE projects will include simulations of the brain and the nervous system and other biological research that lies somewhere between wetware and software.
神经天空公司的ThinkGear技术已经被应用于马特尔公司的Mindflex游戏之中，在模拟的心灵传动中，佩戴耳机的用户可以通过想象把球移过障碍。
Neurosky's ThinkGear technology has been used in Mattel's (MAT) Mindflex game, which allows users wearing a headset to move a ball through an obstacle course by thinking, in simulation of telekinesis.
并且神经成像研究表明一个人在心里模拟他人的体验会激活和他实际进行这些行为时同样的感觉与情绪大脑回路。
And neuroimaging studies indicate that mentally simulating another person's experience triggers the same sensory and emotional brain pathways that are activated when one actually performs the action.
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.
生物学家认为神经机制无法被模仿，至少无法通过电脑软件模拟出可匹敌的能力和灵活性，对此，库兹韦尔也予以了否定。
He defies biologists to come up with a neurological mechanism that could not be modeled or at least matched in power and flexibility by software running on a computer.
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.
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.
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.
加利福尼亚大学伯克利分校神经系统科学家杰克·加朗特采用的是拥有功能磁共振成像扫描和模拟受试者大脑视觉系统算法的脑图案分析。
University of California, Berkeley, neuroscientist Jack Gallant USES brain-pattern analysis with fMRI scans and algorithms to model the visual system of a subject's brain.
异丙酚一类的药物能够作用于这类接收GABA的神经末梢，通过模拟和增强GABA引起的效果，起到抑制细胞活性的作用。
Drugs like propofol act on these GABA a receptors, mimicking and enhancing the effects of GABA, which inhibits cellular activity.
脉冲激光模拟大脑的神经冲动，这样Miesenboeck和他的同事可以研究接下来果蝇大脑中发生的事情。
Pulsing lasers at modified neurons mimics a brain impulse, allowing Miesenboeck and his colleagues to study what happens next.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
该模拟神经控制器能应用于机器人控制系统中。
The analog neural controller can be applied in the control systems of robots.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
除此之外，用以模拟每秒以十倍速度放电的神经键的模拟模型没有能够符合真实系统的全面复杂性。
In addition, simple models describing each synapse as firing about 10 times per second fail to capture the full complexity of the real system.
通俗地讲就是指计算机通过深度神经网络，模拟人脑的机制来进行学习、判断和决策。
Generally speaking, it is the way a computer imitates the human brain to learn, judge and make decisions using deep neural networks.
本文提出了专家系统和模糊理论应用到神经网络的容差模拟电路故障诊断方法，尤其对容差电路的软故障诊断做了重点阐述。
This paper presents a new approach of fault diagnosis for tolerance analog circuit, and especially expounds the soft fault diagnosis in tolerance analog circuit.
以散货船和油船为实例的计算结果表明，由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。
It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
以散货船和油船为实例的计算结果表明，由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。
It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
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