1. A method for forming a bound network, comprising: decomposing an asynchronous input network to form a network of base functions, wherein the network of base functions includes simple base functions that include two-input threshold OR functions and two-input threshold AND functions with hysteresis, and complex base functions generated during the decomposing; partitioning the network of base functions into at least one subject graph, each portion of the at least one subject graph having a function; determining matches between the at least one subject graph and one or more pattern graphs; and selecting at least one of the one or more pattern graphs to be used in the bound network for the function of each of different portions of the at least one subject graph.