Literature DB >> 27535987

To crash or not to crash: how do hoverflies cope with free-fall situations and weightlessness?

Roman Goulard1, Jean-Louis Vercher1, Stéphane Viollet2.   

Abstract

Insects' aptitude to perform hovering, automatic landing and tracking tasks involves accurately controlling their head and body roll and pitch movements, but how this attitude control depends on an internal estimation of gravity orientation is still an open question. Gravity perception in flying insects has mainly been studied in terms of grounded animals' tactile orientation responses, but it has not yet been established whether hoverflies use gravity perception cues to detect a nearly weightless state at an early stage. Ground-based microgravity simulators provide biologists with useful tools for studying the effects of changes in gravity. However, in view of the cost and the complexity of these set-ups, an alternative Earth-based free-fall procedure was developed with which flying insects can be briefly exposed to microgravity under various visual conditions. Hoverflies frequently initiated wingbeats in response to an imposed free fall in all the conditions tested, but managed to avoid crashing only in variably structured visual environments, and only episodically in darkness. Our results reveal that the crash-avoidance performance of these insects in various visual environments suggests the existence of a multisensory control system based mainly on vision rather than gravity perception.
© 2016. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Dipterous; Flight stabilization; Free fall; Gravity perception; Insect; Vision

Mesh:

Year:  2016        PMID: 27535987     DOI: 10.1242/jeb.141150

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  6 in total

1.  Image statistics of the environment surrounding freely behaving hoverflies.

Authors:  Olga Dyakova; Martin M Müller; Martin Egelhaaf; Karin Nordström
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-04-01       Impact factor: 1.836

2.  Role of the light source position in freely falling hoverflies' stabilization performances.

Authors:  Roman Goulard; Anna Verbe; Jean-Louis Vercher; Stéphane Viollet
Journal:  Biol Lett       Date:  2018-05       Impact factor: 3.703

3.  Accommodating unobservability to control flight attitude with optic flow.

Authors:  Guido C H E de Croon; Julien J G Dupeyroux; Christophe De Wagter; Abhishek Chatterjee; Diana A Olejnik; Franck Ruffier
Journal:  Nature       Date:  2022-10-19       Impact factor: 69.504

4.  Autonomous Flying With Neuromorphic Sensing.

Authors:  Patricia P Parlevliet; Andrey Kanaev; Chou P Hung; Andreas Schweiger; Frederick D Gregory; Ryad Benosman; Guido C H E de Croon; Yoram Gutfreund; Chung-Chuan Lo; Cynthia F Moss
Journal:  Front Neurosci       Date:  2021-05-14       Impact factor: 4.677

5.  Modeling visual-based pitch, lift and speed control strategies in hoverflies.

Authors:  Roman Goulard; Jean-Louis Vercher; Stéphane Viollet
Journal:  PLoS Comput Biol       Date:  2018-01-23       Impact factor: 4.475

6.  Visual approach computation in feeding hoverflies.

Authors:  Malin Thyselius; Paloma T Gonzalez-Bellido; Trevor J Wardill; Karin Nordström
Journal:  J Exp Biol       Date:  2018-05-22       Impact factor: 3.312

  6 in total

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