Flexible statistical inference for mechanistic models of neural dynamics

1 code implementation • NeurIPS 2017 • Jan-Matthis Lueckmann, Pedro J. Goncalves, Giacomo Bassetto, Kaan Öcal, Marcel Nonnenmacher, Jakob H. Macke

Our approach builds on recent advances in ABC by learning a neural network which maps features of the observed data to the posterior distribution over parameters.

Bayesian Inference