dcho-higher-order-brain-connectivity
CommunityPredict higher-order brain interactions with HOBC.
Education & Research#neuroscience#neural networks#higher-order#dcho#brain connectivity#trajectory prediction
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Predicts higher-order brain interactions across three or more brain regions from neuroimaging data, enabling richer insights beyond pairwise connectivity.
Core Features & Use Cases
- Decomposition-composition framework to infer higher-order brain connections from multi-region data.
- Dual-encoder architecture (local and global) plus trajectory predictor for dynamic brain activity.
- Use Case: brain state classification, brain network prediction, and neurological disease analysis.
Quick Start
Run the DCHO model on your fMRI dataset to predict higher-order brain interactions across regions.
Dependency Matrix
Required Modules
torchnumpy
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dcho-higher-order-brain-connectivity Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#dcho-higher-order-brain-connectivity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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