Before revision:  Our results offer important clues for the study of optimal neurocomputing architectures and processes, which are capable of tuning patterns of activity and information flow , and show how the hierarchical topology and its quasi-critical functional counterpart provide an effective balance between local specialized processing and global integration  .
After revision:  Our results offer important clues for the study of optimal neurocomputing architectures and processes, which are capable of tuning patterns of activity and information flow , and show how the hierarchical topology and its quasi-critical functional counterpart provide an effective balance between local specialized processing and global integration , by inheriting the URLanization of the underlying structural architecture .