Jan-Matthis Lueckmann

The paper introduces a standardized ion channel model based on Hodgkin-Huxley formulation, demonstrating its ability to fit most voltage-gated models and enable parameter comparison and inference.

This paper introduces MNLE, a simulation-based inference method for decision-making models, showing it is more efficient and accurate than existing methods.

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.