A connectome analysis tool based on 《Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology》. This article is an extension of NeuNet, so please refer to the conference paper and the corresponding code for detailed methodology. Here, we provide the MANC dataset and the plotting code for Figure 13 of the paper.
If this code is helpful to your work, please cite the following papers:
@inproceedings{liao2024joint,
title={Joint learning neuronal skeleton and brain circuit topology with permutation invariant encoders for neuron classification},
author={Liao, Minghui and Wan, Guojia and Du, Bo},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={1},
pages={197--205},
year={2024}
}
@article{liao2025building,
title={Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology},
author={Liao, Minghui and Wan, Guojia and Hu, Wenbin and Du, Bo},
journal={Neural Networks},
pages={107603},
year={2025},
publisher={Elsevier}
}