A dynamic connectome mapping module in python.
-
Updated
Jul 24, 2023 - Python
A dynamic connectome mapping module in python.
A performant, powerful query framework to search for network motifs
Python library for analysis of neuroanatomical data.
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
GNN with summarization/grouping layer for speed and interpretability
Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models
Tools to work with the FlyWire connectome. Fully interoperable with navis.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Meta-learning using graph neural networks for brain connectivity regression.
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
A paper investigating bilateral symmetry of connectome networks.
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.
Methods for estimating time-varying functional connectivity (TVFC)
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.
Add a description, image, and links to the connectome topic page so that developers can more easily learn about it.
To associate your repository with the connectome topic, visit your repo's landing page and select "manage topics."