A Neural Model of Visual Attention

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


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].


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    C. Bundesen. A theory of visual attention. Psychological Review, 97 (4): 523–547, 1990.CrossRefGoogle Scholar
  2. [2]
    J. Johnides and H. Gleitman. A conceptual category effect in visual search: O as letter or as digit. Perception Psychophysics, 12 (6): 457–460, 1972.CrossRefGoogle Scholar
  3. [3]
    W. A. Johnston and V. J. Dark. Selective attention. Annual Review of Psychology, 37: 43–75, 1986.CrossRefGoogle Scholar
  4. [4]
    J. K. Kruschke. ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99 (1): 22–44, 1992.CrossRefGoogle Scholar
  5. [5]
    Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural Computation, 1: 541–551, 1990.CrossRefGoogle Scholar
  6. [6]
    B. A. Olshausen, C. H. Anderson, and D. C. Van Essen. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. The Journal of Neuroscience, 13(11):4700–4719, 1993.Google Scholar
  7. [7]
    M. I. Posner and S. Dehaene. Attentional networks. Trends in Neurosciences, 17 (2): 75–79, 1994.CrossRefGoogle Scholar
  8. [8]
    R. M. Shiffrin and W. Schneider. Controlled and automatic human information processing: II. perceptual learning, automatic attending and a general theory. Psychological Review, 84 (2): 127–190, 1977.CrossRefGoogle Scholar
  9. [9]
    A. Treisman. Features and objects in visual processing. Scientific American, 255 (5): 106–115, 1986.CrossRefGoogle Scholar

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

Personalised recommendations