论文标题
部分可观测时空混沌系统的无模型预测
Modelling mechanically dominated vasculature development
论文作者
论文摘要
血管网络在许多生物的开发,功能和生存中起关键作用,促进养分的运输以及系统内部和系统之间的其他关键因素。这些容器网络的发展已在体内,体外和计算机环境中进行了彻底探索。但是,日益增长的脉管系统与其环境之间的相互作用的作用在很大程度上尚未解决,尤其是与机械效应有关。由于理解差距的动机,我们开发了一个计算框架,该框架是为了探索机械环境在血管网络形成中的作用而定制的。在这里,我们描述,记录,实施和探索一个基于代理的建模框架,解决单个船只的生长并寻求捕获现象学和直观的定性机制。在我们的探索中,我们证明了这样的模型可以成功地再现熟悉的网络结构,同时强调了机械影响在血管发展中的作用。例如,我们说明了外部基材如何充当脉管系统周期性再生的有效共享记忆。我们还观察到了细微的集体行为和簇状血管生长的出现,这是由外部环境的机械特征引起的。
Vascular networks play a key role in the development, function, and survival of many organisms, facilitating transport of nutrients and other critical factors within and between systems. The development of these vessel networks has been thoroughly explored in a variety of in vivo, in vitro and in silico contexts. However, the role of interactions between the growing vasculature and its environment remains largely unresolved, particularly concerning mechanical effects. Motivated by this gap in understanding, we develop a computational framework that is tailored to exploring the role of the mechanical environment on the formation of vascular networks. Here, we describe, document, implement, and explore an agent-based modelling framework, resolving the growth of individual vessels and seeking to capture phenomenology and intuitive qualitative mechanisms. In our explorations, we demonstrate that such a model can successfully reproduce familiar network structures, whilst highlighting the roles that mechanical influences could play in vascular development. For instance, we illustrate how an external substrate could act as an effective shared memory for the periodic regrowth of vasculature. We also observe the emergence of a nuanced collective behaviour and clustered vessel growth, which results from mechanical characteristics of the external environment.