Jan Boelts

The paper introduces a method to predict synaptic connectivity from neural tissue reconstructions, showing three assumptions can explain connectivity in mouse and human datasets.

This paper introduces simulation-based Bayesian inference to efficiently identify generative models in connectomics by inferring wiring rule parameters from empirical data.

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