Pedraja Federico, Herzog Hendrik, Engelmann Jacob, Jung Sarah Nicola
Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States.
Department of Neuroethology/Sensory Ecology, Institute for Zoology, University of Bonn, Bonn, Germany.
Front Behav Neurosci. 2021 Oct 11;15:718491. doi: 10.3389/fnbeh.2021.718491. eCollection 2021.
Despite considerable advances, studying electrocommunication of weakly electric fish, particularly in pulse-type species, is challenging as very short signal epochs at variable intervals from a few hertz up to more than 100 Hz need to be assigned to individuals. In this study, we show that supervised learning approaches offer a promising tool to automate or semiautomate the workflow, and thereby allowing the analysis of much longer episodes of behavior in a reasonable amount of time. We provide a detailed workflow mainly based on open resource software. We demonstrate the usefulness by applying the approach to the analysis of dyadic interactions of . Coupling of the proposed methods with a boundary element modeling approach, we are thereby able to model the information gained and provided during agonistic encounters. The data indicate that the passive electrosensory input, in particular, provides sufficient information to localize a contender during the pre-contest phase, fish did not use or rely on the theoretically also available sensory information of the contest outcome-determining size difference between contenders before engaging in agonistic behavior.
尽管取得了显著进展，但研究弱电鱼的电通信，尤其是脉冲型物种的电通信具有挑战性，因为需要将从几赫兹到超过100赫兹的可变间隔的非常短的信号时段分配给个体。在本研究中，我们表明监督学习方法提供了一种有前景的工具，可实现工作流程的自动化或半自动化，从而能够在合理的时间内分析更长的行为片段。我们提供了一个主要基于开源软件的详细工作流程。我们通过将该方法应用于对……的二元相互作用分析来证明其有用性。将所提出的方法与边界元建模方法相结合，我们能够对在争斗性遭遇期间获得和提供的信息进行建模。数据表明，特别是被动电感觉输入提供了足够的信息，以便在赛前阶段定位竞争者，鱼类在进行争斗行为之前并未使用或依赖理论上也可用的关于竞争者之间决定比赛结果的体型差异的感官信息。
