Scalable Comparative Connectomics: Interpretable Machine Learning Reveals Evolutionary Signatures and Reconstruction Artifacts

Uses minimal neuron-level features to recover species-level signatures while showing how missing-data handling can create reconstruction artifacts.

176,914 neurons · 5 species · 92.2% Random Forest accuracy