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头部触角增强了盲眼洞穴鱼的水动力感知。

Head Horn Enhances Hydrodynamic Perception in Eyeless Cavefish.

机构信息

Institute of Bionic and Micro-Nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.

International Research Institute for Multidisciplinary Science, Beihang University, Beijing, 100191, China.

出版信息

Adv Sci (Weinh). 2024 Nov;11(44):e2406707. doi: 10.1002/advs.202406707. Epub 2024 Sep 23.

Abstract

Fish can use hydrodynamic stimuli, decoded by lateral line systems, to explore the surroundings. Eyeless species of the genus Sinocyclocheilus have evolved conspicuous horns on their heads, whereas the specific function of which is still unknown. Meanwhile, the eyeless cavefish exhibits more sophisticated lateral line systems and enhanced behavioral capabilities (for instance rheotaxis), compared with their eyed counterparts. Here, the influence of head horn on the hydrodynamic perception capability is investigated through computational fluid dynamics, particle image velocimetry, and a bioinspired cavefish model integrated with an artificial lateral line system. The results show strong evidence that the head horn structure can enhance the hydrodynamic perception, from aspects of multiple hydrodynamic sensory indicators. It is uncovered as that the head horn renders eyeless cavefish with stronger hydrodynamic stimuli, induced by double-stagnation points near the head, which are perceived by the strengthened lateral line systems. Furthermore, the eyeless cavefish model has ≈17% higher obstacle recognition accuracy and lower cost (time and sensor number) than eyed cavefish model is conceptually demonstrated, by incorporating with machine learning. This study provides novel insights into form-function relationships in eyeless cavefish, in addition paves the way for optimizing sensor arrangement in fish robots and underwater vehicles.

摘要

鱼类可以利用侧线系统解码的水动力刺激来探索周围环境。无眼的 Sinocyclocheilus 属物种在头部进化出了显眼的角,但其具体功能尚不清楚。与此同时,与有眼同类相比,无眼洞穴鱼具有更复杂的侧线系统和增强的行为能力(例如趋流性)。在这里,通过计算流体动力学、粒子图像测速法以及集成人工侧线系统的仿洞穴鱼模型,研究了头部角对水动力感知能力的影响。结果表明,头部角结构可以从多个水动力感觉指标增强水动力感知,这是由于头部附近的双驻点产生的增强的水动力刺激,而这些刺激被强化的侧线系统所感知。此外,通过机器学习,无眼洞穴鱼模型在障碍物识别准确性上比有眼洞穴鱼模型高约 17%,并且在时间和传感器数量方面的成本更低,从概念上证明了这一点。这项研究为无眼洞穴鱼的形态-功能关系提供了新的见解,同时为鱼类机器人和水下车辆的传感器布置优化铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/213e/11600165/d4a4cb03a36c/ADVS-11-2406707-g001.jpg

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