Extracting Interactions between Flying Bat Pairs Using Model-Free Methods

dc.contributor.authorRoy, Subhradeepen
dc.contributor.authorHowes, Kaylaen
dc.contributor.authorMüller, Rolfen
dc.contributor.authorButail, Sachiten
dc.contributor.authorAbaid, Nicoleen
dc.contributor.departmentMechanical Engineeringen
dc.contributor.departmentBiomedical Engineering and Mechanicsen
dc.date.accessioned2019-01-24T13:52:05Zen
dc.date.available2019-01-24T13:52:05Zen
dc.date.issued2019-01-09en
dc.date.updated2019-01-24T09:21:56Zen
dc.description.abstractSocial animals exhibit collective behavior whereby they negotiate to reach an agreement, such as the coordination of group motion. Bats are unique among most social animals, since they use active sensory echolocation by emitting ultrasonic waves and sensing echoes to navigate. Bats’ use of active sensing may result in acoustic interference from peers, driving different behavior when they fly together rather than alone. The present study explores quantitative methods that can be used to understand whether bats flying in pairs move independently of each other or interact. The study used field data from bats in flight and is based on the assumption that interactions between two bats are evidenced in their flight patterns. To quantify pairwise interaction, we defined the strength of coupling using model-free methods from dynamical systems and information theory. We used a control condition to eliminate similarities in flight path due to environmental geometry. Our research question is whether these data-driven methods identify directed coupling between bats from their flight paths and, if so, whether the results are consistent between methods. Results demonstrate evidence of information exchange between flying bat pairs, and, in particular, we find significant evidence of rear-to-front coupling in bats’ turning behavior when they fly in the absence of obstacles.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRoy, S.; Howes, K.; Müller, R.; Butail, S.; Abaid, N. Extracting Interactions between Flying Bat Pairs Using Model-Free Methods. Entropy 2019, 21, 42.en
dc.identifier.doihttps://doi.org/10.3390/e21010042en
dc.identifier.urihttp://hdl.handle.net/10919/86861en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectbat interactionen
dc.subjectconvergent cross mapen
dc.subjectcurvatureen
dc.subjecttransfer entropyen
dc.titleExtracting Interactions between Flying Bat Pairs Using Model-Free Methodsen
dc.title.serialEntropyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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