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Realization of geometric illusions and geometry of visual space with neural networks

  • Jinhui Chao
  • Miyata Yasuhiko
  • Shinich Yoshida
Part II: Cortical Maps and Receptive Fields
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

A novel neural network model is shown to realize various geometric illusion phenomena in human vision, which also makes it possible to quantitatively analyze the geometrical deformation of visual space. In sequel, we can predict the geometric; illusions based on the proposed model.

Keywords

Neural Network Model Lateral Inhibition Human Vision Firing Neuron Visual Space 
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 Berlin Heidelberg 1997

Authors and Affiliations

  • Jinhui Chao
    • 1
  • Miyata Yasuhiko
    • 1
  • Shinich Yoshida
    • 2
  1. 1.Dept. of Electrical and Electronic Eng.Chuo UniversityTokyoJapan
  2. 2.Dept. of Computational Intelligence and Systems ScienceTokyo Institute of TechnologyJapan

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