Perceptual binding by coupled oscillatory neural network

Authors:
Teijiro Isokawa;Haruhiko Nishimura;Naotake Kamiura;Nobuyuki Matsui
Affiliations:
Division of Computer Engineering, Graduate School of Engineering, University of Hyogo, Himeji, Japan;Graduate School of Applied Informatics, University of Hyogo, Chuo-ku, Kobe, Japan;Division of Computer Engineering, Graduate School of Engineering, University of Hyogo, Himeji, Japan;Division of Computer Engineering, Graduate School of Engineering, University of Hyogo, Himeji, Japan
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Year:
2005

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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.