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A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields

  • Formal Tools and Computational Models of Neurons and Neural Net Architectures
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

A computation theory is proposed for the orientation-selective simple cells of the striate cortex. The theory consists of three parts: (a) a probabilistic computation theory based on MRFs and the MAP estimation principle which is assumed to be carried out by the visual pathway lying between the lateral geniculate nuclei and the simple cells; (b) a deterministic parallel algorithm which compute the MAP estimation approximately; and (c) a neural implementation of the algorithm.

This research was supported by the Japan SCAT (Support Center for Advanced Telecommunications Technology Research) Foundation.

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Authors and Affiliations

  1. Faculty of Information Science, Osaka Institute of Technology, Kitayama, Hirakata-shi, Osaka, Japan

    Mehdi N. Shirazi & Yoshikazu Nishikawa

Authors
  1. Mehdi N. Shirazi
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  2. Yoshikazu Nishikawa
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José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Shirazi, M.N., Nishikawa, Y. (1997). A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032482

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  • DOI: https://doi.org/10.1007/BFb0032482

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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