Internal KCN: Training Deep Neural Density Estimators to identify mechanistic models of neural dynamics
In this paper, a new Bayesian approach is introduced to infer the probability distribution of parameters of a mechanistic model according to experimental data.
bioRxiv preprint doi: https://doi.org/10.1101/838383
Training deep neural density estimators to identify mechanistic models of neural dynamics
Pedro J. Gonçalves et al.