brain-higher-order-structures
CommunityExplore higher-order brain topology via simplices
Education & Research#neuroscience#persistent-homology#higher-order#fmri#brain-topology#simplicial-complex#betti-numbers
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Brain networks exhibit higher-order interactions that traditional pairwise analyses miss. This skill provides a methodology to study those interactions using simplicial complexes and persistent homology to reveal complex brain network topology.
Core Features & Use Cases
- Build and analyze simplicial complexes from functional connectivity matrices.
- Compute Betti numbers and persistence diagrams to quantify higher-order structures.
- Use for research in neuroscience to characterize topological changes in health and disease.
Quick Start
Analyze a resting-state fMRI correlation matrix to extract higher-order interactions using a simplicial complex.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: brain-higher-order-structures Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#brain-higher-order-structures Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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