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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...
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| Publicado no: | Netw Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MIT Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6370489/ https://ncbi.nlm.nih.gov/pubmed/30793089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/netn_a_00070 |
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