Researchers at Google AI developed synthetic neurons to fill gaps in brain connectivity maps. This method uses machine learning to predict missing synaptic links, reducing the time required for manual mapping. The approach enables faster reconstruction of neural circuits. Neuroscientists can now analyze complex brain architectures without waiting for exhaustive physical imaging.