Behavior, Electrophysiology, and Robotics Experiments to Study Lateral Line Sensing in Fishes
Behavior, Electrophysiology, and Robotics Experiments to Study Lateral Line Sensing in Fishes
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DOI：
10.1093/icb/icy066
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发表时间：
2018-11-01
影响因子：
2.6
通讯作者：
Liao, James C.
中科院分区：
文献类型：
--
作者：
Haehnel-Taguchi, Melanie;Akanyeti, Otar;Liao, James C.
侧线系统是鱼类和两栖类特有的感觉系统。它由头部和身体上分布的机械感觉毛细胞器官（神经丘）组成，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，电生理学和机器人实验来研究这个迷人的感觉系统。在行为学和电生理学实验中，我们研究了模式遗传生物斑马鱼（Danio rerio）的仔鱼侧线系统。我们发现，侧线系统，即使在5日龄的幼虫，参与了一系列的行为，是至关重要的生存，和偏转的一个单一的神经肥大可以引起游泳反应。在机器人实验中，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局部角度更好地了解流体动力学环境。到目前为止，我们的努力集中在提取控制相关的信息，包括表征非定常流，如卡门涡街站举行的范围内的应用场景。我们还使用机器人模型来测试鱼类的形态和运动如何影响侧线感知的生物学假设。总的来说，通过这次审查，我们的目标是增加这种多学科研究方法的可见性和可访问性。
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 Karman 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.