R. Kamimura, T. Kamimura, and O. Uchida (Japan)
In this paper, we propose a new type of information system
for self-organization to produce coherent neuron ﬁring pat
terns. The new information system is composed of a SOM
component and an information maximization component.
In the SOM component, the conventional SOM is used to
cooperate neurons. In the information maximization component, information in competitive units is increased as
much as possible. The component plays a role to accentuate an activation pattern obtained by the SOM component.
We apply the new method to medical data analysis. Experimental results conﬁrm that ﬁring patterns obtained by
the conventional SOM are reinforced and become clearer
by the information maximization component.