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Body size affects the strength of social interactions and spatial organization of a schooling fish (Pseudomugil signifer)

机译:体型会影响社交鱼的社交互动和空间组织的强度(假木吉尔标志物)

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摘要

While a rich variety of self-propelled particle models propose to explain the collective motion of fish and other animals, rigorous statistical comparison between models and data remains a challenge. Plausible models should be flexible enough to capture changes in the collective behaviour of animal groups at their different developmental stages and group sizes. Here, we analyse the statistical properties of schooling fish (Pseudomugil signifer) through a combination of experiments and simulations. We make novel use of a Boltzmann inversion method, usually applied in molecular dynamics, to identify the effective potential of the mean force of fish interactions. Specifically, we show that larger fish have a larger repulsion zone, but stronger attraction, resulting in greater alignment in their collective motion. We model the collective dynamics of schools using a self-propelled particle model, modified to include varying particle speed and a local repulsion rule. We demonstrate that the statistical properties of the fish schools are reproduced by our model, thereby capturing a number of features of the behaviour and development of schooling fish.
机译:尽管各种各样的自推式粒子模型建议解释鱼类和其他动物的集体运动,但是在模型和数据之间进行严格的统计比较仍然是一个挑战。合理的模型应该足够灵活,以捕获动物群体在不同发育阶段和群体规模下集体行为的变化。在这里,我们通过实验和模拟相结合的方法来分析鱼类的统计特性。我们利用通常用于分子动力学的玻尔兹曼反演方法来确定鱼类相互作用平均力的有效潜力。具体而言,我们表明,较大的鱼具有较大的排斥区,但吸引力更大,从而导致它们的集体运动更加紧密。我们使用自推进粒子模型对学校的集体动力学进行建模,该模型经过修改以包括变化的粒子速度和局部排斥规则。我们证明了鱼群的统计特性是通过我们的模型再现的,从而捕获了鱼群行为和发育的许多特征。

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