Literature DB >> 18342508

A simple vision-based algorithm for decision making in flying Drosophila.

Gaby Maimon1, Andrew D Straw, Michael H Dickinson.   

Abstract

Animals must quickly recognize objects in their environment and act accordingly. Previous studies indicate that looming visual objects trigger avoidance reflexes in many species [1-5]; however, such reflexes operate over a close range and might not detect a threatening stimulus at a safe distance. We analyzed how fruit flies (Drosophila melanogaster) respond to simple visual stimuli both in free flight and in a tethered-flight simulator. Whereas Drosophila, like many other insects, are attracted toward long vertical objects [6-10], we found that smaller visual stimuli elicit not weak attraction but rather strong repulsion. Because aversion to small spots depends on the vertical size of a moving object, and not on looming, it can function at a much greater distance than expansion-dependent reflexes. The opposing responses to long stripes and small spots reflect a simple but effective object classification system. Attraction toward long stripes would lead flies toward vegetative perches or feeding sites, whereas repulsion from small spots would help them avoid aerial predators or collisions with other insects. The motion of flying Drosophila depends on a balance of these two systems, providing a foundation for studying the neural basis of behavioral choice in a genetic model organism.

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Year:  2008        PMID: 18342508     DOI: 10.1016/j.cub.2008.02.054

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  57 in total

1.  Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain.

Authors:  Lev E Givon; Aurel A Lazar
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

2.  Object-Detecting Neurons in Drosophila.

Authors:  Mehmet F Keleş; Mark A Frye
Journal:  Curr Biol       Date:  2017-02-09       Impact factor: 10.834

3.  Active flight increases the gain of visual motion processing in Drosophila.

Authors:  Gaby Maimon; Andrew D Straw; Michael H Dickinson
Journal:  Nat Neurosci       Date:  2010-02-14       Impact factor: 24.884

4.  Neurons forming optic glomeruli compute figure-ground discriminations in Drosophila.

Authors:  Jacob W Aptekar; Mehmet F Keleş; Patrick M Lu; Nadezhda M Zolotova; Mark A Frye
Journal:  J Neurosci       Date:  2015-05-13       Impact factor: 6.167

5.  Object features and T4/T5 motion detectors modulate the dynamics of bar tracking by Drosophila.

Authors:  Mehmet F Keleş; Jean-Michel Mongeau; Mark A Frye
Journal:  J Exp Biol       Date:  2019-01-16       Impact factor: 3.312

6.  Encoding and control of orientation to airflow by a set of Drosophila fan-shaped body neurons.

Authors:  Timothy A Currier; Andrew Mm Matheson; Katherine I Nagel
Journal:  Elife       Date:  2020-12-30       Impact factor: 8.140

7.  Flies dynamically anti-track, rather than ballistically escape, aversive odor during flight.

Authors:  Sara Wasserman; Patrick Lu; Jacob W Aptekar; Mark A Frye
Journal:  J Exp Biol       Date:  2012-08-15       Impact factor: 3.312

8.  Object tracking in motion-blind flies.

Authors:  Armin Bahl; Georg Ammer; Tabea Schilling; Alexander Borst
Journal:  Nat Neurosci       Date:  2013-04-28       Impact factor: 24.884

9.  Parallel encoding of recent visual experience and self-motion during navigation in Drosophila.

Authors:  Hiroshi M Shiozaki; Hokto Kazama
Journal:  Nat Neurosci       Date:  2017-09-04       Impact factor: 24.884

10.  Motmot, an open-source toolkit for realtime video acquisition and analysis.

Authors:  Andrew D Straw; Michael H Dickinson
Journal:  Source Code Biol Med       Date:  2009-07-22
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