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Regulation of BMP4 on the proliferation and differentiation in SVZa neural stem cells
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作者 LIUShiyong ZHANGZhiyuan +6 位作者 SONGYechun QIUKejun ZHANGKecheng ANNing zhouzheng CAIWenqin YANGHui 《Chinese Science Bulletin》 SCIE EI CAS 2004年第11期1126-1136,共11页
The neural stem cells in the anterior subventricula zone (SVZa) mainly generate the progenitors that will differentiate into neurons, and along a highly circumscribed migratory access-Rostral migratory stream (RMS), t... The neural stem cells in the anterior subventricula zone (SVZa) mainly generate the progenitors that will differentiate into neurons, and along a highly circumscribed migratory access-Rostral migratory stream (RMS), they migrate to the olfactory bulbs (OB). To understand the effects of BMPs on SVZa neural stem cells, in this study BMP4 at various concentrations was used to induce SVZa ,neural stem cells, aud the living cell labeling using BMP4 pronmtor conjugated with red fluorescence protein showed the expression of BMP4 dynamically. The results demonstrated that low BMP4 doses (1-5 ng/mL) promoted while high doses(10-100 ng/mL) inhibited the proliferation of SVZa neural stem cells, and BMP4 promoted neuron differentiation in the early stage (1-3 d), howeverm, it inhibited the neuron commitment after 4 d. Noggin, the antagonist of BMP4, blocked the physiological effects of BMP4. In OB, BMP4 is mainly to accelerate the progenitors to withdraw from the cell cycle and trigger the differentiation, and in RMS, it promotes the proliferation of committed progenitors and not differentiation, further in SVZa, BMP4 enhances astrocyte commitment. 展开更多
关键词 神经干细胞 分芽繁殖 骨形态发生蛋白 红荧光蛋白 绿荧光蛋白 前向次心室带
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Blind Equalization Using a Novel Recurrent Neural Network Training Algorithm
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作者 LiangQilian zhouzheng 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 1997年第2期47-49,共3页
BlindEqualizationUsingaNovelRecurrentNeuralNetworkTrainingAlgorithmManuscriptreceivedNov.21,1996.Thisprogram... BlindEqualizationUsingaNovelRecurrentNeuralNetworkTrainingAlgorithmManuscriptreceivedNov.21,1996.Thisprogramwassupportedbythe... 展开更多
关键词 盲道均衡 回归法 神经网络 共轭梯度法 三点寻找法
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A Hybrid Algorithm of BP Network and Its Application to Blind Equalization
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作者 LiangQilian zhouzheng 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 1996年第2期39-43,共5页
We propose a novel hybrid algorithm of BP neural ytetwork and apply it to blind equalization.The algorithm combines the merits of Rosario algorithm and random optimization method. Its cost function has strict convex c... We propose a novel hybrid algorithm of BP neural ytetwork and apply it to blind equalization.The algorithm combines the merits of Rosario algorithm and random optimization method. Its cost function has strict convex character (after a threshold) and the algorithm converges much faster than the BPmethod[2], as an exalople, we evaluate its performance by using it into blind equalization. With the help ofHigher Order Culnulants (HOC), the blind equalization scheme converges much faster than the CMAalgorithm and superior to the Back-propagation,nethod[2] due to its ability of finding the optimal solutionwith relatively fewer iteration stops. 展开更多
关键词 s: neural network blind equalization higher-order cumulants
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