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. Author manuscript; available in PMC: 2019 Apr 16.
Published in final edited form as: Nat Rev Neurosci. 2018 Sep;19(9):566–578. doi: 10.1038/s41583-018-0038-8

FIG. 4. Bridging model types in network neuroscience.

FIG. 4.

There are many ways to bridge model types. One natural path begins with fine-scale and coarse-grained information drawn from real systems (left) to create network models as data representations, which in turn are used to inform first-principles theories (middle). These theories then predict observed patterns of functional or structural connectivity (right).