Before revision:  Thus the more sensitively a GRN responds to the input , the fitter it is.We show the following properties for the GRNs in the "fittest ensemble" : (1) They distinguish two different states of the input by switching the fixed points .
After revision:  Thus the more sensitively a GRN responds to the input .We employed the multicanonical Monte Carlo method, which can sample GRNs randomly in a wide range of fitness levels, and classified the GRNs according to their fitness. The following properties were found : (1) They distinguish two different states of the input by switching the fixed points .