AyobamiMichael AyobamiMichael
AyobamiMichael
/ gist:5724c1188e7dc474a2424b8c935dcffc
Created
February 16, 2025 07:09
Application of Kernel-based Contrastive Independent Component Analysis (KCICA) on EEG Dataset
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| 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 |