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侧线神经纤维不会对紊流中的总体水流方向进行编码。

Lateral line nerve fibers do not code bulk water flow direction in turbulent flow.

作者信息

Chagnaud Boris P, Bleckmann Horst, Hofmann Michael H

机构信息

Institute of Zoology, University of Bonn, Poppelsdorfer Schloss, AG Bleckmann, D-53115 Bonn, NRW, Germany.

出版信息

Zoology (Jena). 2008;111(3):204-17. doi: 10.1016/j.zool.2007.07.009. Epub 2008 Mar 7.

Abstract

The discharges of anterior and posterior lateral line nerve afferents were recorded while stimulating goldfish, Carassius auratus, with bulk water flow. With increasing flow velocity lateral line afferents increased their discharge rates. However, an increased response to flow rates occurred even if flow direction was reversed. Thus, individual lateral line afferents did not encode the direction of running water. Frequency spectra of the water motions quantified with particle image velocimetry revealed flow fluctuations that increased with increasing flow velocity. Maximal spectral amplitudes of the flow fluctuations were below 5 Hz (bulk flow velocity 4-15 cms(-1)). The frequency spectra of the firing rates of lateral line afferents also showed an increase in amplitude when fish were exposed to running water. The maximal spectral amplitudes of the recorded data were in the frequency range 3-8 Hz. This suggests that the lateral line afferents mainly responded to the higher frequency fluctuations that developed under flow conditions, but not to the direct current flow or the lower frequency fluctuations. Although individual lateral line afferents encoded neither flow velocity nor flow direction we suggest that higher order lateral line neurons can do so by monitoring flow fluctuations as they move across the surface of the fish.

摘要

在用水流刺激金鱼(Carassius auratus)时,记录了前侧线神经传入纤维和后侧线神经传入纤维的放电情况。随着流速增加,侧线传入纤维的放电率也增加。然而,即使水流方向反转,对流速的反应仍会增强。因此,单个侧线传入纤维并未编码流水的方向。用粒子图像测速法量化的水运动频谱显示,水流波动随流速增加而增大。水流波动的最大频谱幅度低于5赫兹(总体流速为4 - 15厘米每秒)。当鱼暴露在流水环境中时,侧线传入纤维放电率的频谱幅度也会增大。记录数据的最大频谱幅度在3 - 8赫兹的频率范围内。这表明侧线传入纤维主要对水流条件下产生的较高频率波动做出反应,而不是对直流水流或较低频率波动做出反应。尽管单个侧线传入纤维既不编码流速也不编码水流方向,但我们认为高阶侧线神经元可以通过监测水流在鱼体表移动时的波动来做到这一点。

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