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A probabilistic model for the establishment of neuron polarity

机译:建立神经元极性的概率模型

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The main aim of this paper is to present a simple probabilistic model for the early stage of neuron growth. the specification on an axon out of several initially similar neurites. The model is a Markov process with competition between the growing neurites, wherein longer objects have more chances to grow, and parameter alpha determines the intensity of the competition. For alpha > 1 the model provides results which are qualitatively similar to the experimental ones, i.e. selection of one rapidly elongating axon out of several neurites while other less successful neurites stop growing at some random time. Rigorous mathematical proofs are given. [References: 14]
机译:本文的主要目的是为神经元生长的早期阶段提供一个简单的概率模型。几个最初相似的神经突中的轴突规格。该模型是一个马尔可夫过程,在不断增长的神经突之间存在竞争,其中更长的物体有更多的增长机会,而参数alpha决定竞争的强度。对于alpha> 1,该模型提供的结果在质量上与实验结果相似,即从多个神经突中选择一个快速伸长的轴突,而其他不太成功的神经突则在某个随机时间停止生长。给出了严格的数学证明。 [参考:14]

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