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.
Recurrent Dynamic Graph Mapper using GNN
Sparsely Reconstructed Graphs (SpaRG) for robust and interpretable fMRI analysis using GNNs and VAEs.
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.
Undergrad personal project. Currently building a connectome analysis based on ABIDE dataset. Aspired to bridge the gap between clinical psychiatry and computational neuroscience. // 学部生の個人プロジェクト。現在ABIDEなどのデータを用いたコネクトーム解析を実装中。夢は精神医学における客観的な診断フレームワークの構築。
A differentiable model for describing and optimizing synaptogenesis
A curated list of awesome computational neuroscience libraries, software and any content related to the domain. A forked repo from analyticalmonk.
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