In social animals, studying interactions with conspecifics is crucial for understanding even basic physiological, behavioral, and cognitive processes. Due to a visible "ecological turn" in behavioral research, we observe a rapid development of novel methods devoted to studying interaction. In this article, we offer a case study of an animal interactive behavior, which uses new methods of video-recorded motion capturing combined with time-series analysis called recurrence quantification analysis. We apply the method to the video-recorded behavioral sequence observed in Rattus norvegicus to evidence the fine-grained structure of this behavior. We show how such dynamical analyses can lead to insights about the processes behind such behavioral patterns and their change. Finally, we show how this approach can be successfully applied to other examples of highly coordinated behaviors in the animal world. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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挪威大鼠（Rattus norvegicus）在线协调研究中的复发量化分析。

在社会性动物中，研究与同种动物的相互作用对于理解基本的生理、行为和认知过程至关重要。由于行为研究中明显的“生态转向”，我们观察到致力于研究交互的新方法的快速发展。在本文中，我们提供了一个动物互动行为的案例研究，它使用了视频记录运动捕捉的新方法，并结合了称为重复量化分析的时间序列分析。我们将该方法应用于在褐家鼠中观察到的视频记录的行为序列，以证明这种行为的细粒度结构。我们展示了这种动态分析如何能够深入了解这种行为模式及其变化背后的过程。最后，我们展示了这种方法如何成功应用于动物世界中高度协调行为的其他例子。（PsycInfo 数据库记录 (c) 2020 APA，保留所有权利）。