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Mathematical modelling and numerical simulation of the morphological development of neurons

机译:神经元形态发育的数学建模和数值模拟

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Background The morphological development of neurons is a very complex process involving both genetic and environmental components. Mathematical modelling and numerical simulation are valuable tools in helping us unravel particular aspects of how individual neurons grow their characteristic morphologies and eventually form appropriate networks with each other. Methods A variety of mathematical models that consider (1) neurite initiation (2) neurite elongation (3) axon pathfinding, and (4) neurite branching and dendritic shape formation are reviewed. The different mathematical techniques employed are also described. Results Some comparison of modelling results with experimental data is made. A critique of different modelling techniques is given, leading to a proposal for a unified modelling environment for models of neuronal development. Conclusion A unified mathematical and numerical simulation framework should lead to an expansion of work on models of neuronal development, as has occurred with compartmental models of neuronal electrical activity.
机译:背景技术神经元的形态发育是一个非常复杂的过程,涉及遗传和环境两个方面。数学建模和数值模拟是有价值的工具,可帮助我们阐明各个神经元如何生长其特征形态并最终形成合适的网络。方法回顾了各种数学模型,这些模型考虑了(1)神经突萌生(2)神经突伸长(3)轴突寻路,以及(4)神经突分支和树突形状形成。还描述了采用的不同数学技术。结果对建模结果和实验数据进行了一些比较。给出了对不同建模技术的评论,从而提出了关于神经元发育模型的统一建模环境的建议。结论统一的数学和数值模拟框架应该导致神经元发育模型的工作扩展,就像神经元电活动的隔室模型所发生的那样。

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