First, favorable properties of recurrent neural networks (RNN) are mentioned, and reasons are given for using an abstract RNN that is based on the statistics of the training data rather than a network of neurons. Second, this section illustrates that a pattern completion might end in a local minimum if the completion is realized as a gradient descent in a potential field build on top of a mixture model. Thus, a different strategy is required.