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International Conference on Artificial Neural Networks

ICANN 2002: Artificial Neural Networks — ICANN 2002 pp 1268–1274Cite as

A Neural Model of the Fly Visual System Applied to Navigational Tasks

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2415))

Abstract

We investigate how elementary motion detectors (EMDs) can be used to control behavior. We have developed a model of the fly visual system which operates in real time under real world conditions and was tested in course and altitude stabilization tasks using a flying robot. While the robot could stabilize gaze i.e. orientation, we found that stabilizing translational movements requires more elaborate preprocessing of the visual input and fine tuning of the EMDs. Our results show that in order to control gaze and altitude EMD information needs to be computed in different processing streams.

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References

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Author information

Authors and Affiliations

  1. Institute of Neuroinformatics, Winterhurerstrasse 190, 8057, Zuerich, Switzerland

    Cyrill Planta, Jörg Conradt, Adrian Jencik & Paul Verschure

Authors
  1. Cyrill Planta
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  2. Jörg Conradt
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  3. Adrian Jencik
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  4. Paul Verschure
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Editor information

Editors and Affiliations

  1. ETS Informática, Universidad Autónoma de Madrid, 28049, Madrid, Spain

    José R. Dorronsoro

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© 2002 Springer-Verlag Berlin Heidelberg

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Planta, C., Conradt, J., Jencik, A., Verschure, P. (2002). A Neural Model of the Fly Visual System Applied to Navigational Tasks. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_205

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  • DOI: https://doi.org/10.1007/3-540-46084-5_205

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44074-1

  • Online ISBN: 978-3-540-46084-8

  • eBook Packages: Springer Book Archive

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