English

Excitable Greenberg-Hastings cellular automaton model on scale-free networks

Statistical Mechanics 2007-05-23 v1 Disordered Systems and Neural Networks

Abstract

We study the excitable Greenberg-Hastings cellular automaton model on scale-free networks. We obtained analytical expressions for no external stimulus and the uncoupled case. It is found that the curves, the average activity FF versus the external stimulus rate rr, can be fitted by a Hill function, but not exactly, and there exists a relation FrαF\propto r^\alpha for the low-stimulus response, where Stevens-Hill exponent α\alpha ranges from α=1\alpha = 1 in the subcritical regime to α=0.5\alpha = 0.5 at criticality. At the critical point, the range reaches the maximal. We also calculate the average activity Fk(r)F^{k}(r) and the dynamic range Δk(p)\Delta^{k}(p) for nodes with given connectivity kk. It is interesting that nodes with larger connectivity have larger optimal range, which could be applied in biological experiments to reveal the network topology.

Keywords

Cite

@article{arxiv.cond-mat/0701248,
  title  = {Excitable Greenberg-Hastings cellular automaton model on scale-free networks},
  author = {An-Cai Wu and Xin-Jian Xu and Ying-Hai Wang},
  journal= {arXiv preprint arXiv:cond-mat/0701248},
  year   = {2007}
}

Comments

submitted to Phys. Rev. E