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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MIT Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370489/ https://www.ncbi.nlm.nih.gov/pubmed/30793089 http://dx.doi.org/10.1162/netn_a_00070 |