Inference of brain networks with approximate Bayesian computation – assessing face validity with an example application in Parkinsonism

This paper describes and validates a novel framework using the Approximate Bayesian Computation (ABC) algorithm for parameter estimation and model selection in models of mesoscale brain network activity. We provide a proof of principle, first pass validation of this framework using a set of neural m...

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Detalles Bibliográficos
Autores principales: West, Timothy O., Berthouze, Luc, Farmer, Simon F., Cagnan, Hayriye, Litvak, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270890/
https://www.ncbi.nlm.nih.gov/pubmed/33839264
http://dx.doi.org/10.1016/j.neuroimage.2021.118020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270890/
https://www.ncbi.nlm.nih.gov/pubmed/33839264
http://dx.doi.org/10.1016/j.neuroimage.2021.118020

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