Sichert Andreas B, Bamler Robert, van Hemmen J Leo
Physik Department T35 & Bernstein Center for Computational Neuroscience-Munich, Technische Universität München, 85747 Garching bei München, Germany.
Phys Rev Lett. 2009 Feb 6;102(5):058104. doi: 10.1103/PhysRevLett.102.058104.
The lateral-line system is a unique mechanosensory facility of aquatic animals that enables them not only to localize prey, predator, obstacles, and conspecifics, but also to recognize hydrodynamic objects. Here we present an explicit model explaining how aquatic animals such as fish can distinguish differently shaped submerged moving objects. Our model is based on the hydrodynamic multipole expansion and uses the unambiguous set of multipole components to identify the corresponding object. Furthermore, we show that within the natural range of one fish length the velocity field contains far more information than that due to a dipole. Finally, the model we present is easy to implement both neuronally and technically, and agrees well with available neuronal, physiological, and behavioral data on the lateral-line system.
侧线系统是水生动物独特的机械感觉器官，它不仅能使水生动物定位猎物、捕食者、障碍物和同种个体，还能识别水动力物体。在此，我们提出一个明确的模型，解释鱼类等水生动物如何区分不同形状的水下运动物体。我们的模型基于水动力多极展开，并使用明确的多极分量集来识别相应的物体。此外，我们表明，在一个鱼身长度的自然范围内，速度场包含的信息远多于偶极子所产生的信息。最后，我们提出的模型在神经和技术层面都易于实现，并且与关于侧线系统的现有神经、生理和行为数据高度吻合。
