ganglion cell

ganglion cell的基本解释

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节细胞

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神经节细胞

与ganglion cell相关的网络例句 [注：此内容来源于网络，仅供参考]

Due to the complexity of the cell jitter, the NonSynchronous Tining Recovery methods are currently not mature With the emphasis being given to the Class A CBR traffic, this paper analyzes the performance of the queueing delay and cell jitter at the source node and intermediate nodes, and discusses the Source Timing Recovery at the destination node in ATM networks Firstly, this paper presents a description of the cell jitter of CBR traffic, and gives the definitions of two kinds of cell jitter regarding the Source Timing Recovery for CBR traffic Then, by using exact mathematical models and analysis methods, this paper analyzes the impact of the factors, such as the capacity of the queueing buffer, the randomness, the deterministic nature and the correlation in cell arrivals of the background traffic sources, on the queueing delay and cell jitter performance of the CBR traffic through Statistical Multiplexitng To obtain an insight into the power spectral distribution and look for better schemes for the depression and filtering of the cell jitter, within the analyses we succeed deriving the power spectrum of the cell jitter for CBR traffic Hence, not only the power spectral distribution of the cell jitter can in the frequency domain be qualitatively understood, but also can the rms (root-meansquare) value of the cell jitter be quantitatively obtained so as to more accurately measure the amplitude of the jitter In the end-to-end performance analysis of the queueing delay and cell jitter, we propose a kind of quasi-periodic cell stream model to characterize the jittered CBR traffic, and present an initial queueing analysis of the CBR traffic following such a model at a generic intermediate node Additionally, we briefly discuss the buildout/playout and Source Timing Recovery functions of the destination node Finally, regarding the Source Timing Recovery of CBR traffic, this paper systematically discusses several important principles of the cell jitter filtering and depression reported in the literature, introduces several implementation schemes of the Source Timing Recovery e.

由于信元抖动的复杂性，非同步定时恢复方法目前还很不成熟。本文针对A类CBR业务流在ATM网络源节点和中间节点的排队时延和信元抖动性能，以及在目的节点的源定时恢复问题作了较为全面的研究。首先，文中描述了CBR业务流的信元抖动，并具体地给出了两种与CBR业务源定时恢复有关的信元抖动的定义。然后，采用了精确的数学模型和分析方法，有针对性地分析了业务背景中信元到达的纯随机性、确定性和相关性以及排队缓存器容量等因素对CBR业务流经过统计复用后的排队时延和信元抖动性能的影响。为了了解信元抖动的功率频谱分布和寻求更好的抑制和滤除抖动的方法，在性能分析中，我们成功地完成了CBR业务流信元抖动的功率谱分析，使得不但可以从频域定性地认识信元抖动的能量分布特性，而且还可以定量地求出信元抖动的均方根值(rms：root-mean-square)，以更为准确地衡量抖动的大小。在CBR业务流的多节点端-端排队时延和信元抖动性能分析中，我们提出了一种准周期性(quasi-periodic)信元流模型来描述感染了信元抖动的CBR业务流，并基于这一模型进行了CBR业务流中间节点的初步排队分析。

Results: The NOS positive cells are scattered in pterygopalatine ganglion, otic ganglion. The decreased density and the increased somatic size of the NOS positive cells of pterygopalatine ganglion, otic ganglion of rats was followed in rat's development and to the largest in adulthood.

结果：NOS神经细胞在翼腭神经节、耳神经节中总体呈均匀散在分布，从幼年到成年，密度呈逐渐下降趋势，而NOS神经元胞体大小逐渐增加，至成年时最大，直至老年无明显改变。

Results There was a similar distributive pattern of Neul, PPCA and β-gal in the inner ear. Neul intense staining was observed in the cochlear spiral ganglion cells, spiral limbus, spiral ligament, vestibular ganglion cells, cristae, maculae hair cells, and weak staining in inner hair cells, outer hair cells, supplying cells of the organ of Corti and stria vascularis. The intense staining of PPCA and β-gal were observed in the spiral ganglion and vestibular ganglion cells, and weak staining in the spiral limbus, spiral ligament, stria vascularis and organ of Corti. The inner ear exhibited no staining when Neul, PPCA and β-gal were deficient, respectively.

Neul最强的染色主要在螺旋神经节细胞、螺旋韧带、螺旋缘、前庭神经节细胞及壶腹嵴、球囊和椭园囊感觉毛细胞，较弱的染色分布于血管纹和Corti器内、外毛细胞及支持细胞；PPCA和β-gal在螺旋神经节和前庭神经节细胞有较强的染色，血管纹、螺旋韧带、螺旋缘和Corti器内、外毛细胞及支持细胞呈较弱的染色反应；各自酶缺乏时内耳免疫染色消失。

与ganglion cell相关的网络解释 [注：此内容来源于网络，仅供参考]

ganglion cell：神经节细胞

每一个神经节细胞(ganglion cell)都将整合一个或多个双极细胞的冲动,双极细胞的轴突形成视神经. 水平细胞(horizontal cells)和无轴突细胞(amacrine cells)整合视网膜上的信息,水平细胞把感受器连接起来,无轴突细胞则负责双极细胞之间和神经节细胞之间的连接.

ganglion cell：节细胞

视网膜的构造分为四层(见图五),主要的神经细胞有杆细胞、锥细胞、双极细胞(bipolar cell)、水平细胞(horizontal cell)、无轴索细胞(amacrine cell)及神经节细胞(ganglion cell).

ganglion cell layer：神经节细胞层

其中有:①双极细胞,其核大而胞浆少,外端发出树突伸入外丛状层,内端发出轴突伸入内丛状层和神经节细胞树突相接触;②水平细胞,为扁平细胞,位于本层外侧,和外丛状层相近并有突起伸入8.神经节细胞层(ganglion cell layer) 厚约10~20微米.

ganglion cell layer：节细胞层

4)节细胞层(ganglion cell layer)位于视网膜的最内层 由多极神经元组成 其树突与双极细胞的轴突、无长突细胞联系 其轴突延至视神经盘处穿过巩膜筛板形成视神经.

ganglion cell layer：神经结细胞层

神经结细胞层 ganglion cell layer | 神经节细胞 ganglion cells | 具神经结的 ganglionated