2008/01/24 by C. Fretter, B. Drossel · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Physics and Astronomy · #Cellular Automata and Applications #Gene Regulatory Network Analysis #Slime Mold and Myxomycetes Research #cond-mat.stat-mech
paper · pdf · doi:10.1140/epjb/e2008-00159-0
published as The European Physical Journal B Volume 62, Number 3 (2008)
arxiv created 2008/01/24 · openalex publication_date 2008/04/01 · arxiv updated 2010/07/02 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
We evaluate the probability that a Boolean network returns to an attractor after perturbing h nodes. We find that the return probability as function of h can display a variety of different behaviours, which yields insights into the state-space structure. In addition to performing computer simulations, we derive analytical results for several types of Boolean networks, in particular for Random Boolean Networks. We also apply our method to networks that have been evolved for robustness to small perturbations, and to a biological example.