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These may contribute to abnormity of the central nervous system by La 3+.

这可能是镧导致海马神经元异常的作用机制之一。

Results. Perfusion with ISM generated an agonal depolarization in all H and DH neurons recorded in current-clamp mode.

结果:所有腹侧和背侧神经元在电流箝记录中均出现濒死的去极化改变。

Results. Perfusion with ISM generated an agonal depolarization in all VH and DH neurons recorded in current-clamp mode.

结果:所有腹侧和背侧神经元在电流箝记录中均出现濒死的去极化改变。

Objective To investigate the effects of aluminum on differentiation of rat neural stem cells in vitro.

目的 探讨铝对大鼠神经干细胞向神经元样细胞分化的影响。

Fig.5 Fos-positive neurons in the amygdaloid nuclei.

图5 杏仁核簇内的Fos阳性问答神经元。

We now think that it may not be the amyloid fiber filaments that cause neuron death and disease onset.

我们现在认为可能并不是淀粉样纤维细丝导致神经元死亡和疾病的发作。

BACKGROUND: After amyotrophic lateral sclerosis, motor neurons have changes in neural degeneration, but the precise mechanism is not clear.

摘要背景:肌萎缩侧索硬化后运动神经元存在神经变性改变,但其确切机制不明,内源性神经干细胞被认为是未来能有效解决此病的治疗方法之一。

After administration of Panax Tonifying Soup Mix with different doses, the number of neurons in brain cells was approximate normal value, and the anaplasia was also notably improved; hepatocyte proliferation, degeneration and necrosis were evidently suppressed; the effects in high dose group were most remarkable; and noticeable dose-effect relationship was observed.

给予不同剂量人参养荣汤干预治疗后,脑细胞神经元数目接近正常,退行性变化明显改善;肝细胞增生、变性及坏死显著被抑制;其中以高剂量作用显著,并且具有显著的量效关系。

In the light of cost index and pollution degree, the characteristics of kinds of pulp are analyzed in detail, and the GP pulp which is low cost, high-yield, no-pollution is chosen as the material of tableware. Based on material element analyzed, shaping technology is designed, the to and for single plane shaping equipment which is high shaping quality, high production efficiency and is easy to automatize is chosen. All kinds of measure are taken to solve the problems which are inequality in the shaping process of GP pulp, and dosage which matches with GP pulp is chosen. Some ways of fixing shape and heat up are analyzed, the technology of saving energy of heat pressing to fix shape being composed of oil heat and only one fixed shape in the mold is applied, with which it is high production efficiency, low cost to fix shape effectively, which saves energy 30 percent. In order to make the production line meet with material of GP pulp, measure are taken to solve the problem of pulp adhered to netlike molding which can lead to carry material difficult, the structure of fully automatic equipment is renovated, the loaded beam is optimizationally designed to make equipment structure compactand improve location precision and products quality. According to technologic flow and actual characteristic, Omron PLC is chosen as the core of the control system, proximity switch as detect unit take the place of touch switch, software is designed reasonably according to time order figure, hardware is simplified, the reliability of system is advanced, the stability of system is assured to make production order. Intelligence neuron PID system is studied theoretically which is made up of both neuron with self-organizing and self-learning function and ordinary PID with the characteristic of the simple structure and high stability, which can automatically tune the parameter with the change of system parameter, remain perfect performance.

按成本指标和污染程度分析各浆料的特点,选择低成本、高得率、无污染的磨石机械浆为原料,在原料组分分析的基础上,设计成型工艺,选择成型质量好、生产率高、易实现自动化的往复式单板成型机,采取各种措施解决GP浆成型不均匀的问题及选择与机械浆相匹配的助剂;分析几种定型方式和加热方式,采用定型效果好、生产率高、成本低的油加热与模内一次性定型相结合的热压定型节能技术,节能30%;为了使生产线适应磨石机械浆原料,采取相应措施解决由于粘网造成物料转移困难,对全自动设备结构进行改进设计,着重对物料传送系统的关键部件——承载梁的进行优化设计,使设备更加紧凑合理,提高设备的定位精度和产品质量;根据生产线工艺流程和现场特点,选用OMRON CPM1A型PLC为主核心,接近开关作为检测元件,替代有触点开关,选用可编程终端代替常规面板按扭,并按照时序图科学合理地设计软件,有效地简化系统硬件构成,提高系统的可靠性,保证系统的稳定性,从而使生产更加通畅有序;从理论上探索将神经元应具有的自组织、自学习要求与PID控制结构简单、稳定性好的全自动纸浆模塑餐具生产线的研究特点结合起来,构成神经元自适应PID控制器,当参数的变化时,系统能自行参数整定,保持优良的工作性能指标,满足实际需求。

Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified PCNN model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. Secondly, PCNN is extended to PCNNs, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. Thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification; Finally, based on the accumulative difference pictures, and the forming and transmission of PCNN wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction.

首先结合PCNN的同步脉冲发放和侧抑制特性,提出了基于改进型PCNN的图像凹点检测算法,该算法是一种自适应而有效的图像凹点检测方法,并且较好地仿真了人类视觉系统;然后,结合信息传递和信息耦合特性,将PCNN扩展成PCNNs,提出了一种基于PCNNs的图像融合算法,能够将多个传感器获取的同一目标的图像信息融合到一幅图像中,有效模拟了人类视觉系统;另外,结合PCNN的同步脉冲发放特性、捕获特性和波的传播竞争特性,开拓地将PCNN用于模式分类中,提出了基于耦合神经元点火捕获/抑制特性的分类方法和改进的约束距离下的PCNN分类方法,前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类,而后者能够消除训练样本中刺点对分类的影响;最后,结合累积差分图像思想、PCNN波的形成与传播特性,通过各神经元之间连接取向来选择与控制自动波的流向,将PCNN用于运动视觉分析中的运动轨迹模拟及运动方向检测。

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