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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Vydáno v:eLife
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: eLife Sciences Publications, Ltd 2020
Témata:
Computational and Systems Biology
On-line přístup: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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