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Feature binding through temporally correlated neural activity in a robot model of visual perception

  • Part V: Robotics, Adaptive Autonomous Agents, and Control
  • Conference paper
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

An agent performing a task in an environment must be able to selectively attend to visual stimuli. This ability is of critical importance for adaptive behavior in (vision-based) biological and artificial agents. In this paper we present a connectionist model of how visual attention can serve an agent to perform its task. The model is embedded in a mobile robot. Visual stimuli are segregated by means of synchronization of spiking neurons. They then enter a selection process, the result of which determines what region of the visual field the robot will attend and consequently react to. Results from the behavior of the robot as well as the underlying neuronal dynamics are presented, and limitations as well as future extensions of the model are discussed.

Support was provided by the VIRGO project, grant number ERB-FMRX-CT96-0049 under the TMR program, the German Research Society (DFG), and the Swiss National Science Foundation, grant number 11-40564.94/2.

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References

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Author information

Authors and Affiliations

  1. Doctoral Program in Cognitive Science, University of Hamburg, Germany

    Steffen Egner & Christian Scheier

  2. AI Lab, Computer Science Department, University of Zurich, Switzerland

    Steffen Egner & Christian Scheier

Authors
  1. Steffen Egner
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  2. Christian Scheier
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Egner, S., Scheier, C. (1997). Feature binding through temporally correlated neural activity in a robot model of visual perception. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020236

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  • DOI: https://doi.org/10.1007/BFb0020236

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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