Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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Updated
Nov 1, 2024 - Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Algorithms and functions in Matlab for community detection in networks. Expands BrainConnectivity toolbox
Some tools for the extraction and plot of second-level ROI-to-ROI results from CONN Toolbox
Brain graph super-resolution using graph neural networks.
This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.
Investigating the reproducibility of federated GNN models
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.
Supervised graph diffusion and fusion.
Federated time-dependent graph evolution prediction with missing timepoints.
MINODES: MARCH-INSIDE for Network Nodes
Simulating cost of trauma in brain networks
Functional connectivity and brain network analysis for motor imagery data in stroke patients
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