Hans‐Christian Hege

FishExplorer integrates multimodal brain data from larval zebrafish to enable circuit analysis and hypothesis generation.

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

The paper develops a multi-species brain atlas platform for comparative neuroscience in teleost fish, revealing species-specific neural structures and enabling gene expression and activity comparisons.

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.