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回声定位蝙蝠的复杂回声分类:综述。

Complex echo classification by echo-locating bats: a review.

机构信息

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2011 May;197(5):475-90. doi: 10.1007/s00359-010-0584-7. Epub 2010 Sep 17.

Abstract

Echo-locating bats constantly emit ultrasonic pulses and analyze the returning echoes to detect, localize, and classify objects in their surroundings. Echo classification is essential for bats' everyday life; for instance, it enables bats to use acoustical landmarks for navigation and to recognize food sources from other objects. Most of the research of echo based object classification in echo-locating bats was done in the context of simple artificial objects. These objects might represent prey, flower, or fruit and are characterized by simple echoes with a single up to several reflectors. Bats, however, must also be able to use echoes that return from complex structures such as plants or other types of background. Such echoes are characterized by superpositions of many reflections that can only be described using a stochastic statistical approach. Scientists have only lately started to address the issue of complex echo classification by echo-locating bats. Some behavioral evidence showing that bats can classify complex echoes has been accumulated and several hypotheses have been suggested as to how they do so. Here, we present a first review of this data. We raise some hypotheses regarding possible interpretations of the data and point out necessary future directions that should be pursued.

摘要

回声定位蝙蝠不断发出超声波脉冲,并分析返回的回声,以检测、定位和分类其周围环境中的物体。回声分类对于蝙蝠的日常生活至关重要;例如,它使蝙蝠能够使用声学地标进行导航,并从其他物体中识别食物来源。回声定位蝙蝠的回声基础物体分类的大部分研究都是在简单的人工物体的背景下进行的。这些物体可能代表猎物、花朵或水果,其回声具有简单的特征,只有一个到几个反射器。然而,蝙蝠还必须能够使用从复杂结构(如植物或其他类型的背景)返回的回声。这些回声的特征是多次反射的叠加,只能使用随机统计方法来描述。科学家们最近才开始研究回声定位蝙蝠的复杂回声分类问题。已经积累了一些表明蝙蝠可以对复杂回声进行分类的行为证据,并提出了几种关于它们如何做到这一点的假设。在这里,我们对这些数据进行了第一次综述。我们提出了一些关于数据可能解释的假设,并指出了应该追求的必要的未来方向。

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