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Published in:
2010 | OriginalPaper | Chapter
An Effect of Inhibitory Connections on Synchronous Firing Assembly in the Inhibitory Connected Pulse Coupled Neural Network
Authors : Hiroaki Kurokawa, Masahiro Yoshihara, Masato Yonekawa
Published in: Neural Information Processing. Theory and Algorithms
Publisher: Springer Berlin Heidelberg
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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.