eeg-brain-connectivity-bci
CommunityTurn EEG connectivity into BCI insights.
Education & Research#signal-processing#bci#eeg#brain-network#functional-connectivity#neurorehabilitation
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
EEG data analysts and clinicians need interpretable metrics to link brain connectivity with BCI performance and recovery outcomes, reducing guesswork in protocol design.
Core Features & Use Cases
- Compute functional connectivity matrices from multi-channel EEG data to reveal network interactions.
- Extract network-level features (mean connectivity, clustering, path length) for BCI control optimization and neurorehabilitation planning.
- Use case: tailor adaptive BCI strategies for gait training or assistive device control based on network dynamics.
Quick Start
Analyze a sample EEG dataset to derive functional connectivity matrices and network metrics for a BCI task.
Dependency Matrix
Required Modules
numpyscipy
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: eeg-brain-connectivity-bci Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#eeg-brain-connectivity-bci Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.