COUPLING CMLS AND THE SYNCHRONIZATION OF A MULTILAYER NEURAL COMPUTING SYSTEM

A coupled map lattice (CML) provides a mathematical model for both spa tially extended physical and biological systems, and for a new type of parallel computing system. We analyse a general process to realize a multilayer structured CML by coupling m CMLs together with arbitrary c oupling structure. As an application we use this coupling process in t he study of a CML with multilayer planar architecture and non-symmetri c hierarchical coupling between the layers. These CMLs model neural ar chitectures and use chaotic maps as the basic elements in the lattice. We measure the complexity of the state of each layer and an increase in spatio-temporal coherence as one ascends a hierarchical feedforward layered network.