Training deep neural density estimators to identify mechanistic models of neural dynamics
Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F. Podlaski, Sara Ann Haddad, Tim P. Vogels, David S. Greenberg, Jakob H. Macke
This paper introduces a machine learning method using deep neural density estimators to perform Bayesian inference on neural dynamics models, demonstrating its application to various neural systems.
eLife · Sep 17, 2020Peer-reviewedNeuroscience