Methods for estimating time-varying functional connectivity (TVFC)
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Updated
May 24, 2024 - Python
Methods for estimating time-varying functional connectivity (TVFC)
Tools to work with the FlyWire connectome. Fully interoperable with navis.
Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models
Python library for analysis of neuroanatomical data.
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
A paper investigating bilateral symmetry of connectome networks.
A (soon to be) lightweight Python package for accessing single-cell connectome networks with metadata.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Connectome Quality Control Software Development in-line with DiCIPHR's DTI Processing pipeline
A performant, powerful query framework to search for network motifs
A dynamic connectome mapping module in python.
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Meta-learning using graph neural networks for brain connectivity regression.
GNN with summarization/grouping layer for speed and interpretability
Solution for CNI Machine Learning Challenge
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
EM Image Reconstruction Tools using Python
Semantic segmentation architectures for connectomics.
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