A Neural Model of the Fly Visual System Applied to Navigational Tasks (original) (raw)

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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Authors and Affiliations

  1. Institute of Neuroinformatics, Winterhurerstrasse 190, 8057, Zuerich, Switzerland
    Cyrill Planta, Jörg Conradt, Adrian Jencik & Paul Verschure

Authors

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

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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