Vanderelst Dieter, Steckel Jan, Boen Andre, Peremans Herbert, Holderied Marc W
School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Active Perception Lab, University of Antwerp, Antwerp, Belgium.
Elife. 2016 Aug 2;5:e14188. doi: 10.7554/eLife.14188.
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.
能够回声定位的蝙蝠拥有出色的空间记忆能力,并且能够利用生物声呐导航到显著位置。导航和沿路线行进要求动物能够识别地点。目前,蝙蝠如何利用回声定位识别地点大多仍不为人知。在本文中,我们提出基于模板的地点识别可能是蝙蝠基于声呐导航的基础。在这一假设下,蝙蝠通过记住它们的回声特征——而非其三维布局来识别地点。利用在三种不同栖息地收集的大量回声数据,我们通过评估所提出的回声特征的两个关键特性来测试这一假设的可行性:(1)它们能够被唯一分类,以及(2)它们在空间中连续变化。基于所呈现的结果,我们得出结论,所提出的回声特征满足这两个标准。我们讨论了回声特征的这两个特性如何能够支持导航以及构建认知地图。