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A Neural Model of Visual Attention

  • Piërre van de Laar
  • Tom Heskes
  • Stan Gielen
Conference paper

Abstract

We propose a biologically plausible neural model of selective covert visual attention. We show that this model is able to learn focussing on object-specific features. It has similar learning characteristics as humans in the learning and unlearning paradigm of Shiffrin and Schneider [8].

Keywords

Visual Attention Attentional Network Covert Attention Shifter Model Psychological Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • Piërre van de Laar
    • 1
    • 2
  • Tom Heskes
    • 1
    • 2
  • Stan Gielen
    • 1
    • 2
  1. 1.Department of Medical Physics and BiophysicsUniversity of NijmegenNijmegenThe Netherlands
  2. 2.RWCP Novel Functions SNN LaboratoryNijmegenThe Netherlands

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