The main theme of this report is a particular facet of the general problem of pre-organization in self-organizing systems, namely, the theory and circuitry of information processing networks. One may consider these networks as a special type of parallel computation channels which extract from the set of all possible inputs a particular subset which is defined by the internal structure of the network. The advantage of such operationally deterministic networks in connection with adaptive systems is the obvious reduction in channel capacity of the adaptors, if it is possible to predetermine classes of inputs which are supposed to be meaningful for those interacting with the automaton.