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arxiv: cond-mat/0701248 · v1 · submitted 2007-01-11 · ❄️ cond-mat.stat-mech · cond-mat.dis-nn

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

classification ❄️ cond-mat.stat-mech cond-mat.dis-nn
keywords alpharangeactivityautomatonaveragecellularconnectivityexcitable
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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 $F$ versus the external stimulus rate $r$, can be fitted by a Hill function, but not exactly, and there exists a relation $F\propto r^\alpha$ for the low-stimulus response, where Stevens-Hill exponent $\alpha$ ranges from $\alpha = 1$ in the subcritical regime to $\alpha = 0.5$ at criticality. At the critical point, the range reaches the maximal. We also calculate the average activity $F^{k}(r)$ and the dynamic range $\Delta^{k}(p)$ for nodes with given connectivity $k$. It is interesting that nodes with larger connectivity have larger optimal range, which could be applied in biological experiments to reveal the network topology.

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