习惯化通过改变相互作用规则决定黑裙鱼（Hyphessobrycon herbertaxelrodi）鱼群的空间位置
Habituation determines spatial position in Hyphessobrycon herbertaxelrodi shoals through altered rules of interaction
AI总结：
本研究探究习惯化程度差异对鱼群空间位置的影响，发现未习惯化的鱼更易占据鱼群中心且协调性更强，还开发出可分类鱼亚群身份的机器学习工具，揭示了局部相互作用差异驱动群体空间分类的机制。
摘要：
习惯化在塑造移动动物群体的集体行为中发挥着关键作用，但群体内习惯化程度差异的影响尚不明确。本研究将两群习惯化水平不同的鱼合并，对其运动进行定量分析。未习惯化的鱼（不熟悉其游泳环境）往往在群体中占据更中心的位置，且与邻鱼距离更近，这与自私牧群假说一致。这种行为似乎是由其调整后的与附近个体的有效局部相互作用驱动的。与习惯化程度更高的鱼相比，这些个体还表现出更强的协调性、更短的“突进-滑行”动态、更高效的信息传递，以及更强的扮演追随者角色的倾向。为验证研究结果，我们开发了一种机器学习工具，成功分类了单条鱼的亚群身份。本研究表明，基于个体对实验装置接触程度的异质性，局部尺度的个体间相互作用差异如何驱动群体内的空间分类。
英文摘要：
Habituation plays a key role in shaping the collective behavior of moving animal groups, yet the effects of variation in habituation within groups are unknown. Here, we merge two subgroups of fish with different levels of habituation and quantitatively analyze their movement. Non-habituated fish (not familiar with their swimming environment) tend to occupy more central positions within the group and position themselves closer to neighbors, consistent with the selfish herd hypothesis. This behavior appears to be driven by adjusted effective local interactions with nearby individuals. Compared to more habituated fish, these individuals also exhibit greater coordination, shorter burst-and-coast dynamics, more efficient information transmission, and a stronger tendency to adopt follower roles. To validate the findings, we develop a machine learning tool that successfully classifies the subgroup identity of individual fish. Our study demonstrates how differences in local-scale inter-individual interactions can drive spatial assortment within groups, based on heterogeneity in their manipulated exposure to the experimental setup.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
