Document Detail


A Simple Strategy for Detecting Moving Objects during Locomotion Revealed by Animal-Robot Interactions.
MedLine Citation:
PMID:  22727703     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
An important role of visual systems is to detect nearby predators, prey, and potential mates [1], which may be distinguished in part by their motion. When an animal is at rest, an object moving in any direction may easily be detected by motion-sensitive visual circuits [2, 3]. During locomotion, however, this strategy is compromised because the observer must detect a moving object within the pattern of optic flow created by its own motion through the stationary background. However, objects that move creating back-to-front (regressive) motion may be unambiguously distinguished from stationary objects because forward locomotion creates only front-to-back (progressive) optic flow. Thus, moving animals should exhibit an enhanced sensitivity to regressively moving objects. We explicitly tested this hypothesis by constructing a simple fly-sized robot that was programmed to interact with a real fly. Our measurements indicate that whereas walking female flies freeze in response to a regressively moving object, they ignore a progressively moving one. Regressive motion salience also explains observations of behaviors exhibited by pairs of walking flies. Because the assumptions underlying the regressive motion salience hypothesis are general, we suspect that the behavior we have observed in Drosophila may be widespread among eyed, motile organisms.
Authors:
Francisco Zabala; Peter Polidoro; Alice Robie; Kristin Branson; Pietro Perona; Michael H Dickinson
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-20
Journal Detail:
Title:  Current biology : CB     Volume:  -     ISSN:  1879-0445     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9107782     Medline TA:  Curr Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Biology, University of Washington, Seattle, WA 98195, USA.
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