Here you will find code for dynamic community detection to reveal functional connectomes from neural activity. The example shown in the Python notebooks use data from whole-brain calcium traces from C. elegans. For more information, please refer to the paper:
Dyballa, L., Lang, S., Haslund-Gourley, A., Yemini, E., Zucker, S. W. (2024), "Learning dynamic representations of the functional connectome in neurobiological networks", The Twelfth International Conference on Learning Representations (ICLR '24), Link