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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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發表在: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
格式: Artigo
語言:Inglês
出版: eLife Sciences Publications, Ltd 2020
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在線閱讀: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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