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...

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Detalles Bibliográficos
Autores principales: Kadirvelu, Balasundaram, Hayashi, Yoshikatsu, Nasuto, Slawomir J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
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

Internet

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

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