A Pulse-Coupled Network of SOM

Authors:
Kai Kinoshita;Hiroyuki Torikai
Affiliations:
Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University, Osaka 560-8531;Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University, Osaka 560-8531
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

Citing 6
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Abstract

In this paper, we present a resonate-and-fire type spiking neuron model and analyze its stability of synchronization phenomena to an input spike train. We also present a parameter update rule to memorize a period of input spike train and analyze its pull-in process. Then we present a pulse-coupled network of the proposed model and show that the proposed network and a Kohonen's SOM has similar functions. And we make comparisons to a network of another resonate-and-fire type neuron model and show superiority of the proposed model.