We study a system of interacting renewal processes which is a model for neu
ronal activity. We show that the system possesses an exponentially large nu
mber (with respect to the number of neurons in the network) of limiting con
figurations of the firing neurons'. These we call patterns. Furthermore, un
der certain conditions of symmetry we find an algorithm to control limiting
patterns by means of the connection parameters.