Curcic-Blake Branislava, van Netten Sietse M
University of Groningen, Neurobiophysics, The Netherlands.
J Exp Biol. 2006 Apr;209(Pt 8):1548-59. doi: 10.1242/jeb.02140.
The position of a hydrodynamic dipole source, as encoded in a linear array of mechano-detecting neuromasts in the fish lateral line canal, was electrophysiologically investigated. Measured excitation patterns along the lateral line were compared to theoretical predictions and were found to be in good agreement. The results demonstrate that information on the position of a vibrating source from a fish is linearly coded in the spatial characteristics of the excitation pattern of pressure gradients distributed along the lateral line canal. Several algorithms are discussed that could potentially be used by a fish to decode lateral line excitation patterns, in order to localise a source and its axis of vibration. Specifically, a wavelet transform of a 1-D excitation pattern is shown to reconstruct a 2-D image of dipole sources located within a distance comparable to the body length of a fish and with a close range spatial accuracy twice the inter-neuromast distance.
对鱼类侧线管道中机械感受性神经丘线性阵列所编码的流体动力偶极源的位置进行了电生理研究。将沿侧线测量的兴奋模式与理论预测进行比较,发现两者吻合良好。结果表明,来自鱼类的振动源位置信息在沿侧线管道分布的压力梯度兴奋模式的空间特征中进行线性编码。讨论了几种鱼类可能用于解码侧线兴奋模式以定位源及其振动轴的算法。具体而言,一维兴奋模式的小波变换显示可重建位于与鱼体长度相当距离内且空间精度接近神经丘间距离两倍的偶极源二维图像。