Researchers at Google AI developed synthetic neurons to fill gaps in complex brain maps. This approach uses machine learning to predict missing synaptic connections based on existing structural data. It reduces the manual labor required for connectomics. Neuroscientists can now reconstruct neural circuits faster, accelerating the study of brain disorders and cognitive functions.