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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Detalhes bibliográficos
Publicado no:eLife
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: eLife Sciences Publications, Ltd 2020
Assuntos:
Computational and Systems Biology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7581433/
https://ncbi.nlm.nih.gov/pubmed/32940606
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.56261
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