weighted-brain-community-detection
CommunityReveal multi-scale brain modules beyond limits.
Data & Analytics#neuroscience#community-detection#multiscale#fMRI#brain-network#weighted-connectivity#asymptotical-surprise
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detects multi-scale community structure in weighted brain connectivity networks beyond the resolution limit using Asymptotical Surprise.
Core Features & Use Cases
- Detects modular organization across scales in weighted brain networks.
- Applies to resting-state fMRI and other brain connectivity datasets to compare modular patterns across subjects or conditions.
- Provides a principled framework for exploring brain network organization beyond fixed-resolution methods.
Quick Start
Run the Asymptotical Surprise based analysis on your weighted brain connectivity data to obtain multi-scale modules.
Dependency Matrix
Required Modules
None requiredComponents
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: weighted-brain-community-detection Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#weighted-brain-community-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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