Training deep neural density estimators to identify mechanistic models of neural dynamics

Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying causes. However, determining which model parameters agree with complex and stochastic neural data presents a significant challenge. We address this challenge with a machine learning tool which uses deep ne...

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Detalles Bibliográficos
Autores principales: Gonçalves, Pedro J, Lueckmann, Jan-Matthis, Deistler, Michael, Nonnenmacher, Marcel, Öcal, Kaan, Bassetto, Giacomo, Chintaluri, Chaitanya, Podlaski, William F, Haddad, Sara A, Vogels, Tim P, Greenberg, David S, Macke, Jakob H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581433/
https://www.ncbi.nlm.nih.gov/pubmed/32940606
http://dx.doi.org/10.7554/eLife.56261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581433/
https://www.ncbi.nlm.nih.gov/pubmed/32940606
http://dx.doi.org/10.7554/eLife.56261

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