Emergence of global patterns in connected neural networks

Abstract

The emergence of patterns in a global network, which consists of many connected local networks, is studied. In each local network one of some patterns is stored, which is selected autonomously by the system itself. It is found that global patterns appear in the global system, which are described in terms of 2 patterns stored in local networks as the background and the pattern itself. The relation between dynamics of the local network and the emergence of global patterns in the global network is discussed.