An effect of inhibitory connections on synchronous firing assembly in the inhibitory connected pulse coupled neural network

Authors:
Hiroaki Kurokawa;Masahiro Yoshihara;Masato Yonekawa
Affiliations:
Tokyo University of Technology, Tokyo, Japan;Tokyo University of Technology, Tokyo, Japan;Tokyo University of Technology, Tokyo, Japan
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Year:
2010

Citing 9
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Abstract

The Pulse Coupled Neural Network (PCNN) had been proposed as a model of visual cortex and a lot of applications to the image processing have been proposed recently. Authors also have been proposed Inhibitory Connected PCNN (IC-PCNN) which shows good performances for the color image processing. In our recent study, we had been shown that the IC-PCNN can obtain successful results for the color image segmentation. In this study, we show the effect of the inhibitory connections to the characteristics of synchronous firing assembly. Here we consider that the results will be a key to find appropriate values of inhibitory connections for the image processing using IC-PCNN. In simulations, we show that the valid domains of inhibitory connections for the color image segmentation exists.