Dynamic properties of simulated brain network models and empirical resting-state data
Brain network models (BNMs) have become a promising theoretical framework for simulating signals that are representative of whole-brain activity such as resting-state fMRI. However, it has been difficult to compare the complex brain activity obtained from simulations to empirical data. Previous stud...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2019-02-01
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| Series: | Network Neuroscience |
| Subjects: | |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00070 |