除了推进:肌肉自身感知使鱼体中的水力动力感知成为可能
Rahdar Hussain Afridi1, Waqar Hussain Afridi1, Muhammad Hamza1
1State Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Laboratory, College of Engineering, Peking University, Beijing, People's Republic of China.
Proceedings. Biological sciences
|October 29, 2025
概括
鱼的肌肉充当传感器,在游泳时检测流体动力学. 这项研究揭示了鱼的肌肉活动阶段在复杂的流动中转移,这表明在中感觉使用.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 流体动力学 流体动力学
背景情况:
- 鱼的肌肉活动产生推力,并感知周围的流体动力学.
- 由于鱼类肌肉与游泳的整合,因此很难研究鱼类肌肉的自身感知作用.
- 了解这种感官功能可以为生物灵感的水下系统提供信息.
研究的目的:
- 为了研究鱼类肌肉的感知能力.
- 为了区分层状流体与复杂流体流动中的肌肉活动模式.
- 开发用于鱼类同步电肌学和动态记录的新方法.
主要方法:
- 开发了一种用于12通道电肌图 (EMG) 的实验平台,并在鱼和鱼中同步动力学.
- 利用神经网络将EMG信号映射到身体动力学,验证系统.
- 鱼类在层状流和卡尔曼中游泳的EMG数据进行了比较.
主要成果:
- 肌肉活动阶段始终在层状流动中引导身体动力学.
- 在卡尔曼中观察到混合相关系 (领先或落后).
- 这表明鱼的肌肉可能会在复杂的流环境中充当自身受体.
结论:
- 鱼的肌肉在感知复杂的流体动力学时表现出不同的活动模式.
- 通过肌肉活动进行自身感知,鱼类可以在流或旋流中使用.
- 该研究引入了生物EMG分析的新方法,并为生物灵感的水下机器人提供了洞察力.
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