Meta-learning using graph neural networks for brain connectivity regression.
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Updated
Sep 19, 2022 - Python
Meta-learning using graph neural networks for brain connectivity regression.
A paper investigating bilateral symmetry of connectome networks.
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.
Research Project at DELab, UoSC, USA.
A biological neural network, digitized and trained to play chess. Powered by the open-source fruit fly connectome (164k neurons), PyTorch, and Dopamine RL.
Advanced computational framework for integrated analysis of molecular and electrical brain network dynamics at the cellular level
Connectome based schizophrenia prediction using structural connectivity - Deep Graph Neural Network (sc-DGNN)
Towards Deep Learning for Connectome Mapping: A Block Decomposition Framework
Study the connectome structure in C. Elegans by finding paths between a set of neuron classes present.
Visualize neural networks into a heirarchial graph using networkx. Weights and signs will be respected.
Applies neuroscience's lesion-simulation method to Istanbul's transit network (metro + bus) and benchmarks it against a real fruit-fly brain connectome — an open-source network resilience analyzer with an interactive Streamlit dashboard.
Rapid analysis of scientific papers from bioRxiv and PubMed
A brain on-chain. AMPHOOD - a living on-chain organism. Blockchain activity becomes sensory input, the nervous system processes it, and behavior emerges in real time. https://amphood.site/
Unfinished takeover-ready Megaphragma/Vigilia connectome research infrastructure — Affinity S7 FAST + Vast/local hybrid; heavy lifting done, full volume not finished. See HANDOFF.md.
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