MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
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Updated
Jun 6, 2022 - Python
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
A Python package for evaluating the topological accuracy of a neuron segmentation by computing skeleton-based metrics.
A biological neural network, digitized and trained to play chess. Powered by the open-source fruit fly connectome (164k neurons), PyTorch, and Dopamine RL.
Sparsely Reconstructed Graphs (SpaRG) for robust and interpretable fMRI analysis using GNNs and VAEs.
Recurrent Dynamic Graph Mapper using GNN
A (soon to be) lightweight Python package for accessing single-cell connectome networks with metadata.
This repository explores functional brain connectivity using fMRI data and methods for constructing and visualizing functional connectomes. This work was developed by Ana Silva, Catarina Finuras, João Mata (me) and Tomás Serra from Técnico Lisboa.
Network Analysis of the connectome of FAFB.
A simulated browser game where a fly dodges obstacles, steered by a rate model wired with real synapse counts from the male Drosophila CNS connectome — 2D and 3D versions, full data pipeline and docs included. https://zenodo.org/records/23185744
A curated list of awesome computational neuroscience libraries, software and any content related to the domain. A forked repo from analyticalmonk.
A differentiable model for describing and optimizing synaptogenesis
A local research instrument for connecting separate, provenance-preserving neural graphs through an artificial trainable routing layer.
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