1) convergent neuron
会聚神经元
1.
Extracellular recordings were made from convergent neurons at L 6 S 1 segments of the spinal dorsal horn.
用 1 5～ 3倍阈刺激强度的电脉冲交替刺激麻醉、麻痹大鼠的盆神经 (Pe)和阴部神经 (Pu) ,以玻璃微电极在L6 S1节段脊髓背角会聚神经元上记录细胞外放电。
2.
On the basis of the observed pat-terns of neuron discharges in the dorsal horn of spinal cord induced by stimulating gastrocnemius nerve and biadder nerve respectively, the musculo-viscus convergent neurons (MVCN ) were further classified.
在观察刺激大鼠腓肠肌神经和膀胱神经分别所诱发背角神经元放电形式的基础上，对肌肉-内脏会聚神经元（Musculo－ViscusConvergentNeuron，MVCN）进行了归类分析。
2) clustering neuron
聚类神经元
1.
A clustering neuron model with neuron activation function variable,which is peak-subtraction clustering neuron model,is proposed in the combination of neuron network and density indexes of data sets.
将神经网络与数据集的密度指标结合起来提出一种山峰—减法聚类神经网络方法 ,利用数据集的密度指标对基类进行合并 ,并不断重复直至产生足够多的聚类中心 ,就可完成对聚类神经元的学习。
3) neurone clustering
神经元聚类
4) multi-aggregation process neuron
多聚合过程神经元
1.
Aimed at the information process problem that the system inputs are multivariate process functions and multi-dimension process signals, this paper proposes a kind of the multi-aggregation process neuron and the multi-aggregation process neural networks model.
针对系统输入为多元过程函数以及多维过程信号的信息处理问题,提出了多聚合过程神经元和多聚合过程神经元网络模型。
5) multi-aggregation process neural networks
多聚合过程神经元网络
1.
Aimed at the information process problem that the system inputs are multivariate process functions and multi-dimension process signals, this paper proposes a kind of the multi-aggregation process neuron and the multi-aggregation process neural networks model.
针对系统输入为多元过程函数以及多维过程信号的信息处理问题,提出了多聚合过程神经元和多聚合过程神经元网络模型。
6) neuronal pentraxin 2
神经元正五聚蛋白2
1.
Objective To construct the prokaryotic expression vector of human neuronal pentraxin 2(NPTX2) gene,induce the expression of the recombinant fusion protein in E.
目的在大肠埃希菌中表达人神经元正五聚蛋白2(NPTX2),并对该重组蛋白进行纯化、鉴定。
补充资料：神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条