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gyralnet-subnetwork-partitioning

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Differentiable brain subnetwork partitioning.

Education & Research#neuroscience#partitioning#brain-connectivity#gyralnet#subnetwork#spectral-modularity
Authorhiyenwong
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a differentiable framework to partition cortical subnetworks by applying spectral modularity optimization to a GyralNet representation of cortical folding, enabling robust cross-subject analysis.

Core Features & Use Cases

  • Differentiable spectral modularity optimization on GyralNet graphs (3HGs as nodes, gyral crests as edges)
  • Cross-subject consistency via community-level correspondence in subnetworks
  • Applicable to MRI-derived brain graphs for connectivity analysis and hub identification

Quick Start

Run the GyralNet partitioning workflow on your structural MRI data to obtain cross-subject subnetworks.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: gyralnet-subnetwork-partitioning
Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#gyralnet-subnetwork-partitioning

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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