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Inferring structural connectivity using Ising couplings in models of neuronal networks
Functional connectivity metrics have been widely used to infer the underlying structural connectivity in neuronal networks. Maximum entropy based Ising models have been suggested to discount the effect of indirect interactions and give good results in inferring the true anatomical connections. Howev...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557813/ https://www.ncbi.nlm.nih.gov/pubmed/28811468 http://dx.doi.org/10.1038/s41598-017-05462-2 |