Helweg D A, Au W W, Roitblat H L, Nachtigall P E
Department of Psychology, University of Auckland, New Zealand.
J Acoust Soc Am. 1996 Apr;99(4 Pt 1):2409-20. doi: 10.1121/1.415429.
The relationships between acoustic features of target echoes and the cognitive representations of the target formed by an echolocating dolphin will influence the ease with which the dolphin can recognize a target. A blindfolded Atlantic bottlenose dolphin (Tursiops truncatus) learned to match aspect-dependent three-dimensional targets (such as a cube) at haphazard orientations, although with some difficulty. This task may have been difficult because aspect-dependent targets produce different echoes at different orientations, which required the dolphin to have some capability for object constancy across changes in echo characteristics. Significant target-related differences in echo amplitude, rms bandwidth, and distributions of interhighlight intervals were observed among echoes collected when the dolphin was performing the task. Targets could be classified using a combination of energy flux density and rms bandwidth by a linear discriminant analysis and a nearest centroid classifier. Neither statistical model could classify targets without amplitude information, but the highest accuracy required spectral information as well. This suggests that the dolphin recognized the targets using a multidimensional representation containing amplitude and spectral information and that dolphins can form stable representations of targets regardless of orientation based on varying sensory properties.
目标回声的声学特征与回声定位的海豚形成的目标认知表征之间的关系,将影响海豚识别目标的难易程度。一只被蒙上眼睛的大西洋宽吻海豚(瓶鼻海豚)学会了匹配随机取向的依赖于朝向的三维目标(如立方体),不过有一定难度。这项任务可能很难,因为依赖于朝向的目标在不同取向下会产生不同的回声,这要求海豚具备在回声特征变化时保持物体恒常性的某种能力。在海豚执行任务时收集的回声中,观察到了与目标相关的回声幅度、均方根带宽和亮点间间隔分布的显著差异。通过线性判别分析和最近质心分类器,使用能量通量密度和均方根带宽的组合可以对目标进行分类。没有幅度信息,两种统计模型都无法对目标进行分类,但最高准确率也需要频谱信息。这表明海豚使用包含幅度和频谱信息的多维表征来识别目标,并且海豚可以基于变化的感官属性,无论目标取向如何,都能形成稳定的目标表征。