Philipp Harth

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.

The paper shows that neuron morphology influences cortical network architecture by shaping recurrent or feedforward connectivity patterns based on dendritic and axonal properties.