A dynamic connectome mapping module in python.
Python library for analysis of neuroanatomical data.
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
A performant, powerful query framework to search for network motifs
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
GNN with summarization/grouping layer for speed and interpretability
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Tools to work with the FlyWire connectome. Fully interoperable with navis.
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
Meta-learning using graph neural networks for brain connectivity regression.
A paper investigating bilateral symmetry of connectome networks.
Code base for our paper "Connectivity-Inspired Network for Context-Aware Recognition" (ECCV 2024, Human-inspired Computer Vision workshop)
Methods for estimating time-varying functional connectivity (TVFC)
maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.
Python tool for spatially normalizing diffusion MRI data
A (soon to be) lightweight Python package for accessing single-cell connectome networks with metadata.
Semantic segmentation architectures for connectomics.
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