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Classifying dynamic transitions in high dimensional neural mass models: A random forest approach
Neural mass models (NMMs) are increasingly used to uncover the large-scale mechanisms of brain rhythms in health and disease. The dynamics of these models is dependent upon the choice of parameters, and therefore it is crucial to be able to understand how dynamics change when parameters are varied....
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5851637/ https://ncbi.nlm.nih.gov/pubmed/29499044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006009 |
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