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Behavior Electrophysiology and Robotics Experiments to Study Lateral Line Sensing in Fishes

机译:行为电生理学和机器人实验研究鱼类的侧向线感测

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摘要

The lateral line system is a sensory system unique to fishes and amphibians. It is composed of distributed mechanosensory hair cell organs on the head and body (neuromasts), which are sensitive to pressure gradients and water movements. Over the last decade, we have pursued an interdisciplinary approach by combining behavioral, electrophysiology, and robotics experiments to study this fascinating sensory system. In behavioral and electrophysiology experiments, we have studied the larval lateral line system in the model genetic organism, zebrafish (Danio rerio). We found that the lateral line system, even in 5-day-old larvae, is involved in an array of behaviors that are critical to survival, and the deflection of a single neuromast can elicit a swimming response. In robotics experiments, we used a range of physical models with distributed pressure sensors to better understand the hydrodynamic environments from the local perspective of a fish or robot. So far, our efforts have focused on extracting control-related information for a range of application scenarios including characterizing unsteady flows such as Kármán vortex streets for station holding. We also used robot models to test biological hypotheses on how morphology and movement of fishes affect lateral line sensing. Overall, with this review we aim to increase the visibility and accessibility of this multi-disciplinary research approach.
机译:侧线系统是鱼类和两栖动物独有的感觉系统。它由头部和身体上的分布式机械感性毛细胞器官(神经末梢)组成,这些器官对压力梯度和水运动敏感。在过去的十年中,我们通过结合行为,电生理学和机器人学实验来研究这种引人入胜的感觉系统,以寻求跨学科的方法。在行为和电生理实验中,我们研究了模型遗传生物斑马鱼(Danio rerio)中的幼虫侧线系统。我们发现,即使在5天大的幼体中,侧线系统也参与了一系列对生存至关重要的行为,单个神经桅杆的偏转会引起游泳反应。在机器人技术实验中,我们使用了一系列带有分布式压力传感器的物理模型,以便从鱼或机器人的本地角度更好地了解流体动力学环境。到目前为止,我们的工作集中在为一系列应用场景中提取与控制相关的信息,包括表征不稳定的流量,例如用于站位控制的Kármán涡街。我们还使用机器人模型来测试关于鱼类形态和运动如何影响侧线感测的生物学假设。总体而言,通过这次审查,我们旨在提高这种多学科研究方法的知名度和可访问性。

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