Now available online: M. Ishii, J. Gores, C. Teuscher, “On the sparse percolation of damage in finite non-synchronous random Boolean networks,” Physica D, 398:84-91, 2019. https://doi.org/10.1016/j.physd.2019.05.011
Our latest paper “On the Sparse Percolation of Damage in Finite Non-Synchronous Random Boolean Networks” (M. Ishii, C. Teuscher, J. Gores) was accepted by Physica D. It is authored by a tlab undergrad and a high school student. Way to go!
Pre-print: https://doi.org/10.1016/j.physd.2019.05.011
The paper presents an inventory of non-synchronous updating schemes and their effect on the sparse percolation (SP) of damage in finite random Boolean networks (RBNs). The results contribute to better understanding the robustness and information processing capabilities of complex systems with more biologically-plausible updating schemes.
Andrew Boysen at UPENN is maintaining a more recent and updated branch of our “legacy” MATLAB RBN toolbox. His code is available on GitHub: https://github.com/CSFive/MATLAB_Kauffman_NK_Random_Boolean_Network