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Inferring the structure and dynamics of interactions in schooling fish

机译:推论养鱼相互作用的结构和动力学

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摘要

Determining individual-level interactions that govern highly coordinated motion in animal groups or cellular aggregates has been a long-standing challenge, central to understanding the mechanisms and evolution of collective behavior. Numerous models have been proposed, many of which display realistic-looking dynamics, but nonetheless rely on untested assumptions about how individuals integrate information to guide movement. Here we infer behavioral rules directly from experimental data. We begin by analyzing trajectories of golden shiners (Notemigonus crysoleucas) swimming in two-fish and three-fish shoals to map the mean effective forces as a function of fish positions and velocities. Speeding and turning responses are dynamically modulated and clearly delineated. Speed regulation is a dominant component of how fish interact, and changes in speed are transmitted to those both behind and ahead. Alignment emerges from attraction and repulsion, and fish tend to copy directional changes made by those ahead. We find no evidence for explicit matching of body orientation. By comparing data from two-fish and three-fish shoals, we challenge the standard assumption, ubiquitous in physics-inspired models of collective behavior, that individual motion results from averaging responses to each neighbor considered separately; three-body interactions make a substantial contribution to fish dynamics. However, pairwise interactions qualitatively capture the correct spatial interaction structure in small groups, and this structure persists in larger groups of 10 and 30 fish. The interactions revealed here may help account for the rapid changes in speed and direction that enable real animal groups to stay cohesive and amplify important social information.
机译:确定支配动物组或细胞聚集体中高度协调运动的个体间相互作用是一项长期的挑战,对理解集体行为的机制和进化至关重要。已经提出了许多模型,其中许多模型显示逼真的动态,但是仍然依赖于未经检验的关于个人如何整合信息以指导运动的假设。在这里,我们直接从实验数据中推断出行为规则。我们首先分析在两个鱼群和三个鱼群中游泳的金色光芒(Notemigonus crysoleucas)的轨迹,以绘制平均有效力随鱼群位置和速度的变化图。速度和转弯响应是动态调制的,并且清晰地描绘出来。速度调节是鱼类相互作用的主要组成部分,速度变化会传递给前后的人。一致来自吸引和排斥,鱼类倾向于复制前者的方向变化。我们没有证据表明身体取向明确匹配。通过比较两条鱼和三条鱼的浅滩的数据,我们挑战了由物理启发的集体行为模型中普遍存在的标准假设,即个体运动是通过对分别考虑的每个邻居的平均响应而得出的。三体相互作用极大地促进了鱼类的动力学。然而,成对的相互作用定性地捕获了小群中正确的空间相互作用结构,这种结构在10和30条鱼的较大群中仍然存在。这里揭示的相互作用可能有助于解释速度和方向的快速变化,使真实的动物群体保持凝聚力并扩大重要的社会信息。

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