Before revision:  Through an information-theoretical approach we show that information propagation of activity among adjacent modules is enhanced as the number of modules increases until an optimal value is reached and then decreases . This suggests that there is an optimal interplay between hierarchical level and synaptic strengths for information propagation among modules, but we also found that information transfer measured from the spike-trains differs from this one indicating that URLanization restructures information communicated in the mesoscopic level .
After revision:  Through an information-theoretical approach we show that information propagation of activity among adjacent modules is enhanced as the number of modules increases until an optimal value is reached and then decreases , showing that there is an optimal interplay between hierarchical level and synaptic strengths for information propagation among modules, but we also found that information transfer measured from the spike-trains differs from this one indicating that URLanization restructures information communicated in the mesoscopic level .