  Based on the LISSOM model and the OFC earthquake model, we introduce a
self-organized feature map Neural Network model . It displays a "Self Organized
Criticality"(SOC) behavior. It can be seen that the feature area (synchronized
area) produced by self-organized process brings about some definite effect on
SOC behavior and the system evolves into a "partly-synchronized" state. For
explaining this phenomena, a quasi-OFC earthquake model is simulated.
