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Perceptual Binding by Coupled Oscillatory Neural Network

  • Teijiro Isokawa
  • Haruhiko Nishimura
  • Naotake Kamiura
  • Nobuyuki Matsui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3696)

Abstract

The binding problem is a problem on the integration of perceptual properties in our brains. For describing this problem in the artificial neural network, it is necessary to introduce the temporal coding of information. In this paper, we propose a neural network model that can represent the bindings of external stimuli, based on the network that is capable of figure-ground segmentation proposed by Sompolinsky and Tsodyks. This model adopts the coupled oscillators that can represent the temporal coding and the synchronization among them.

Keywords

Neural Network Model Couple Oscillatory Color Network Input Stimulus Temporal Code 
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 2005

Authors and Affiliations

  • Teijiro Isokawa
    • 1
  • Haruhiko Nishimura
    • 2
  • Naotake Kamiura
    • 1
  • Nobuyuki Matsui
    • 1
  1. 1.Division of Computer Engineering, Graduate School of EngineeringUniversity of HyogoHimejiJapan
  2. 2.Graduate School of Applied InformaticsUniversity of HyogoChuo-ku, KobeJapan

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