Skip to content

Instantly share code, notes, and snippets.

@AyobamiMichael

AyobamiMichael/gist:5724c1188e7dc474a2424b8c935dcffc

Created February 16, 2025 07:09
Show Gist options
  • Save AyobamiMichael/5724c1188e7dc474a2424b8c935dcffc to your computer and use it in GitHub Desktop.
Save AyobamiMichael/5724c1188e7dc474a2424b8c935dcffc to your computer and use it in GitHub Desktop.
Download ZIP
Application of Kernel-based Contrastive Independent Component Analysis (KCICA) on EEG Dataset
Raw
gistfile1.txt
This repository contains a Jupyter Notebook that demonstrates the application of Kernel-based Contrastive Independent Component Analysis (KCICA) on an EEG dataset. The goal of this project is to separate mixed EEG signals into their independent components using a contrastive learning approach based on the Hilbert-Schmidt Independence Criterion (HSIC).
https://github.com/AyobamiMichael/Application-of-Kernel-based-Contrastive-Independent-Component-Analysis-KCICA-on-EEG-dataset.git
@AyobamiMichael
Copy link
Author

Contributions are welcome!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment