Connectome-scale self-supervised representation learning reveals neuronal organization beyond canonical labels
Te Shi, Yinda Chen, Chunxiuzi Liu, Ruobing Zhang
This paper develops a self-supervised framework for learning structure-connectivity representations in dense connectomes, revealing neuronal organization beyond canonical labels.
bioRxiv · Jul 4, 2026 · PreprintNeuroscience