We propose an emergent system model that is a mutually connected neural network model which is mounted to the spatiotemporal coupled Lorenz model-based subsystems, which has proposed in a previous paper. There are two types in this model. One of these is a digital-digital network model (a DDN model) that is mounted to the digital subsystems; another model is an analog-digital network model (an ADN model) that is mounted to the analog subsystems. Both these types are auto-correlation type associative memory models. Even though having no learning synapse weight systems in these models, the models show several autonomous dynamics of retrieving embedded patterns by exciting an external input pattern from the subsystems. And, we introduce the methods of controlling of the proposed models that is called the self-reference model and the external stimulation strength dependence model.
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