Motifs in regulatory networks and their structural robustness

If we consider the regulatory networks used in systems biology (especially in neural and genetic networks), we observe certain regularities in their architecture, namely the occurrence of interaction motifs, i.e. of oriented sub-graphs relating their elements with the same interaction scheme. We propose here to describe some of these motifs we can consider as universal because they are often met in the regulatory networks architecture, and to study their main robustness properties (called also structural stability), i.e. their ability to keep after topological or dynamical perturbations, their essential asymptotic features, as their attractors number, shape and behaviour, like their periodicity.