tensor-decomposition-brain-states
CommunityTensor-based discovery of dynamic brain states
Data & Analytics#EEG#fMRI#tensor-decomposition#dynamic-brain-connectivity#network-states#quasi-stationary#brain-graphs
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps researchers extract temporally invariant network states from time-varying brain connectivity data using tensor decomposition, enabling compact representation of dynamic brain activity.
Core Features & Use Cases
- Tensor-based state discovery from dynamic connectivity tensors
- Topographic maps per state for interpretability
- Cross-modal applicability to EEG, fMRI, and MEG data
- Example: ERN EEG study demonstrating quasi-stationary brain states
Quick Start
Provide time-resolved connectivity data and run the tensor decomposition workflow to extract network states and their topographic representations.
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: tensor-decomposition-brain-states Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#tensor-decomposition-brain-states Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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