Title
Place recognition using batlike sonar Place recognition using batlike sonar
Author
Faculty/Department
Faculty of Applied Economics
Faculty of Applied Engineering Sciences
Publication type
article
Publication
Subject
Engineering sciences. Technology
Source (journal)
eLife
Volume/pages
5(2016) , p. 1-23
ISSN
2050-084X
ISI
000380927100001
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
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.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/e89209/134766.pdf
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