查询词典 memory model

Danggui Shaoyao-San could improve free radical metabolized in hippocamp to improve the learning and memory capability of model mouse.

当归芍药散通过调节脑海马自由基代谢，可改善血管性痴呆小鼠学习与记忆能力。

Conclusiondangguishaoyao-san could regulate the content of cgrp and ss in hippocamp and improve the learning and memory capability of model mouse.

结论当归芍药散通过调节脑海马神经肽cgrp和ss含量，可改善血管性痴呆小鼠学习与记忆能力。

Resultsthe ability of vascular dementia model mouse for learning and memory reduced, which showed extending the time for swimming the whole process, and increasing times of mistakes; the content of cgrp and ss in hippocamp reduced. dangguishaoyao-san could make the time for swimming the whole process shorten and times of mistakes decreased, and increase the content of cgrp and ss in hippocamp, which were excellent than that of contrast medicine.

结果模型小鼠学习与记忆能力下降，表现为游全程时间延长，错误次数增加，脑海马cgrp和ss含量下降；当归芍药散可使模型小鼠游全程时间缩短，错误次数减少，脑海马cgrp和ss含量升高，优于对照药物。

Objective To establish a mouse model with disorders of learning and memory abilities and to observe the change of nitric oxide contents in the hippocampi of the mice and the prophylactic and therapeutic effects of nimodipine on them.

目的 建立小鼠学习和记忆功能障碍模型，观察其海马一氧化氮变化及尼莫地平的防治作用。

Results There existed decreasing learning and memory function, increasing MAO-B activity from the cortex, hippocampus, and strium, elevating brain iron and aluminum levels with diminishing ferritin level, and karyopyknosis as well as neuron loss of hippocampus in the model mice.

结果 模型组小鼠学习记忆能力明显下降，大脑皮层、海马和纹状体MAO-B活力增加，脑铁水平明显升高，线粒体铁蛋白水平下降，而海马CA1区神经元核固缩和神经细胞丢失。

In this dissertation, we propose a Markov jump diffusion model, that can not only incorporate both the leptokurtic feature and volatility smile, but also present the economic features of volatility clustering and long memory.

在本论文中，我们建议使用马可夫跳跃扩散过程，不仅能整合leptokurtic与波动度微笑特性，而且能产生波动度聚集的与长记忆的现象。

The storage of memory is not the only neurophysiological puzzle that becomes more tractable in light of Pribrams holographic model of the brain.

储存的记忆并不是唯一的难题是神经变得更加听话根据普里布拉姆的全息模型的大脑。

In particular, it is unknown how the relevant neural substrates function as a network to mediate perspective-taking during the task requiring understanding other's belief. The current work first developed a new psychological paradigm that excludes potential confounds such as the processing of language, biological motion, episodic memory and causal coherence in the paradigms used in previous studies. I recorded neural activities associated with mental inference task using functional magnetic resonance imaging and electroencephalography in order to investigate the functional roles of several brain areas (i.e. precuneus, MPFC, etc.) that engage in understanding other's belief. I also proposed a computational model based on the neuroimaging results that simulated the neurocognitive mechanism underlying cortical dynamics in correct judgment of other's belief.

本文首先发展了一个新的心理学实验范式，排除以往常用&错误信念&范式中与语言加工、生物运动、情景记忆及事件连续性和因果性等方面的混淆，采用功能磁共振成像（functional magnetic resonance imaging， fMRI）和脑电（Electroencephalography， EEG）时频分析等脑成像技术，记录与理解他人信念任务相关的神经活动，通过对行为和脑成像数据的分析，研究楔前叶和内侧前额叶等脑区在理解他人信念任务中的功能意义，并根据脑成像结果，提出一个基于自我和他人视角竞争的计算模型，模拟大脑在理解他人信念时做出正确决策时的认知神经机制。

To further enhance the security and connectivity for wireless sensor networks,proposed an improved key management scheme.introduced the scheme,a random key predistribution using multiple key spaces and multipath key reinforcement was based on group-based deployment model which in the paper of du wen-liang.analysis and simulations show that the scheme has lower memory and communication overheads, better ability against attacks besides good security performance.

为了进一步提高无线传感器网络的安全连通性，在分析du wen-liang等人的group-based节点投放模型的基础上，提出了一种改进的密钥管理方案：多密钥空间与多路径增强相结合的随机密钥预分配方案。结果分析表明，该方案需要较少的内存存储空间，不仅提高了系统的连通性，还降低了节点的被捕获概率。

However, it takes too much time and space for simulating a model with a relative large scale. A pseudospectral time domain method has the advantage of saving time and computer memory for the same simulation accuracy as that of FDTD.

通常采用的时域有限差分法在网格足够细的情况下能够精确地模拟井中雷达，但对于相对较大的模型，要得到较好的精度其所需要的时间和计算机内存都非常大。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。