On the preservation of limit cycles in Boolean networks under different updating schemes

Boolean networks under different deterministic updating schemes are analyzed. It is direct to show that fixed points are invariant against changes in the updating scheme, nevertheless, it is still an open problem to fully understand what happens to the limit cycles. In this paper, a theorem is presented which gives a sufficient condition for a Boolean network not to share the same limit cycle under different updating modes. We show that the hypotheses of the theorem are sharp, in the sense that if any of these hypotheses do not hold, then shared limit cycles may appear. We find that the connectivity of the network is an important factor as well as the Boolean functions in each node, in particular the XOR functions.

[1]  J. Demongeot,et al.  Robustness in Regulatory Networks: A Multi-Disciplinary Approach , 2008, Acta biotheoretica.

[2]  Alan E. Gelfand,et al.  A system theoretic approach to the management of complex organizations: Management by exception, priority, and input span in a class of fixed‐structure models , 1979 .

[3]  Eric Goles Ch.,et al.  Comparison between parallel and serial dynamics of Boolean networks , 2008, Theor. Comput. Sci..

[4]  S. Kauffman Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[5]  R. Thomas,et al.  Boolean formalization of genetic control circuits. , 1973, Journal of theoretical biology.

[6]  Eric Goles Ch.,et al.  Disjunctive networks and update schedules , 2012, Adv. Appl. Math..

[7]  Q. Ouyang,et al.  The yeast cell-cycle network is robustly designed. , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[8]  Eric Goles Ch.,et al.  On the robustness of update schedules in Boolean networks , 2009, Biosyst..

[9]  S. Bornholdt,et al.  Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast , 2007, PloS one.

[10]  Damien Regnault,et al.  Boolean networks synchronism sensitivity and XOR circulant networks convergence time , 2012, AUTOMATA & JAC.

[11]  Eric Goles Ch.,et al.  Learning gene regulatory networks using the bees algorithm , 2011, Neural Computing and Applications.

[12]  Françoise Fogelman-Soulié,et al.  Specific roles of the different Boolean mappings in random networks , 1982 .

[13]  E. Álvarez-Buylla,et al.  Dynamics of the genetic regulatory network for Arabidopsis thaliana flower morphogenesis. , 1998, Journal of theoretical biology.

[14]  Eric Goles,et al.  Deconstruction and Dynamical Robustness of Regulatory Networks: Application to the Yeast Cell Cycle Networks , 2013, Bulletin of mathematical biology.