A probabilistic model for the establishment of neuron polarity.
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.
Isaac Newton Institute for Mathematical Sciences, University of Cambridge, UK. R.Khanin@damtp.cam.ac.uk
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D016764:Cell Polarity / Q000502:physiology*; D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D016501:Neurites / Q000502:physiology*