Biologically-Inspired Visual-Motor Coordination Model in a Navigation Problem

  • Jacek Jelonek
  • Maciej Komosinski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


This work presents a biologically-inspired coordination model which associates motor actions with visual stimuli. The model is introduced and explained, and navigation experiments are reported that verify the implemented visual-motor system. Experiments demonstrate that the system can be trained to solve navigation problems consisting in moving around a 3D object to reach a specific location based on the visual information only. The model is flexible, as it is composed of an adjustable number of modules. It is also interpretable, i.e. it is possible to estimate the influence of visual features on the motor action.


Visual Cortex Motor Area Motor Module Navigation Task Target Speed 
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  1. 1.
    Adamatzky, A., Komosinski, M. (eds.): Artificial Life Models in Software, ch. 2. Springer, Heidelberg (2005)Google Scholar
  2. 2.
    Baldi, P.: Gradient descent learning algorithm overview: a general dynamical systems perspective. IEEE Transactions on Neural Networks 6(1), 182–195 (1995)CrossRefGoogle Scholar
  3. 3.
    Hubel, D.H., Wiesel, T.N.: Receptive fields, binocular interaction, and functional architecture in the cat’s visual cortex. Journal of Physiology 160, 106–154 (1962)Google Scholar
  4. 4.
    Hubel, D.H., Wiesel, T.N.: Receptive fields and functional architecture of the monkey striate cortex. Journal of Physiology 195, 215–243 (1968)Google Scholar
  5. 5.
    Trullier, O., Wiener, S., Berthoz, A., Meyer, J.-A.: Biologically-based Artificial Navigation Systems: Review and Prospects. Progress in Neurobiology 51, 483–544 (1997)CrossRefGoogle Scholar
  6. 6.
    Yager, R., Rybalov, A.: Uninorm Aggregation Operators. Fuzzy Sets and Systems 80, 111–120 (1996)MATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jacek Jelonek
    • 1
  • Maciej Komosinski
    • 1
  1. 1.Institute of Computing SciencePoznan University of TechnologyPoznanPoland

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