Place recognition using batlike sonar
Place recognition using batlike sonar
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DOI：
10.7554/elife.14188
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发表时间：
2016-08-02
期刊：
影响因子：
7.7
通讯作者：
Holderied, Marc W.
中科院分区：
文献类型：
--
作者：
Vanderelst, Dieter;Steckel, Jan;Holderied, Marc W.
回声定位蝙蝠具有出色的空间记忆能力，能够利用生物声纳导航到显眼的位置。导航和路线跟踪需要动物识别地点。目前，人们还不知道蝙蝠是如何利用回声定位来识别地点的。在本文中，我们提出基于模板的位置识别可能是蝙蝠声纳导航的基础。在这种假设下，蝙蝠通过记住回声特征来识别地点，而不是记住它们的3D布局。利用在三个不同栖息地收集的大量回声数据，我们测试了这一假设的可行性，评估了所提出的回波特征的两个关键特性：(1)它们可以唯一地分类；(2)它们在空间上连续变化。根据给出的结果，我们得出结论，所提出的回波特征满足这两个标准。我们讨论了回声特征的这两个属性如何支持导航和构建认知地图。
Echolocating bats have excellent spatial memory and are able to navigate to salient locations using bio-sonar. Navigating and route-following require animals to recognize places. Currently, it is mostly unknown how bats recognize places using echolocation. In this paper, we propose template based place recognition might underlie sonar-based navigation in bats. Under this hypothesis, bats recognize places by remembering their echo signature - rather than their 3D layout. Using a large body of ensonification data collected in three different habitats, we test the viability of this hypothesis assessing two critical properties of the proposed echo signatures: (1) they can be uniquely classified and (2) they vary continuously across space. Based on the results presented, we conclude that the proposed echo signatures satisfy both criteria. We discuss how these two properties of the echo signatures can support navigation and building a cognitive map.