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Biomimetic Neural Learning for Intelligent Robots pp 54–72Cite as

A Distributed Model of Spatial Visual Attention

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3575))

Abstract

Although biomimetic autonomous robotics relies on the massively parallel architecture of the brain, the key issue is to temporally organize behaviour. The distributed representation of the sensory information has to be coherently processed to generate relevant actions. In the visual domain, we propose here a model of visual exploration of a scene by the means of localized computations in neural populations whose architecture allows the emergence of a coherent behaviour of sequential scanning of salient stimuli. It has been implemented on a real robotic platform exploring a moving and noisy scene including several identical targets.

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Author information

Authors and Affiliations

  1. Loria laboratory, Campus Scientifique, B.P. 239, 54506, Vandœuvre-lès-Nancy Cedex, France

    Julien Vitay, Nicolas P. Rougier & Frédéric Alexandre

Authors
  1. Julien Vitay
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  2. Nicolas P. Rougier
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  3. Frédéric Alexandre
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Editor information

Editors and Affiliations

  1. University of Sunderland, SR6 0DD, Sunderland, United Kingdom

    Stefan Wermter

  2. Institute of Neural Information Processing, University of Ulm, D-89069, Ulm, Germany

    Günther Palm

  3. Hybrid Intelligent Systems, SCAT, University of Sunderland, UK

    Mark Elshaw

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© 2005 Springer-Verlag Berlin Heidelberg

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Vitay, J., Rougier, N.P., Alexandre, F. (2005). A Distributed Model of Spatial Visual Attention. In: Wermter, S., Palm, G., Elshaw, M. (eds) Biomimetic Neural Learning for Intelligent Robots. Lecture Notes in Computer Science(), vol 3575. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11521082_4

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  • DOI: https://doi.org/10.1007/11521082_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27440-7

  • Online ISBN: 978-3-540-31896-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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