A stored program 2nd order/3-layer complex cell Cellular Neural Network Universal
Machine (CNN-UM) architecture is introduced. We discuss a number of phenomena that
can be generated in this system by a single CNN transient. In particular, it is pointed
out that by a proper combination of two dynamic layers some operations can be easily
implemented that would require an approximation or iterative algorithmic solution
relying on a first order CNN system. Thus, during these experiments, in a 2nd order/3-layer
CNN new multi-layer templates have been identified as efficient basic building blocks
for various application motivated analogic algorithms.