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

  • Part II: Cortical Maps and Receptive Fields
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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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.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Electronic Eng., Chuo University, Tokyo, Japan

    Jinhui Chao & Miyata Yasuhiko

  2. Dept. of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan

    Shinich Yoshida

Authors
  1. Jinhui Chao
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  2. Miyata Yasuhiko
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  3. Shinich Yoshida
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Chao, J., Yasuhiko, M., Yoshida, S. (1997). Realization of geometric illusions and geometry of visual space with neural networks. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020165

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  • DOI: https://doi.org/10.1007/BFb0020165

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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