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Reconstruction of noise-driven nonlinear networks from node outputs by using high-order correlations
Many practical systems can be described by dynamic networks, for which modern technique can measure their outputs, and accumulate extremely rich data. Nevertheless, the network structures producing these data are often deeply hidden in the data. The problem of inferring network structures by analyzi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5359559/ https://www.ncbi.nlm.nih.gov/pubmed/28322230 http://dx.doi.org/10.1038/srep44639 |