This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
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Updated
Jun 1, 2024 - Jupyter Notebook
This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
Tensor-based Multiple Canonical Correlation Analysis
TreeCorTreat
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Tensor Canonical Correlation Analysis (TCCA) via penalised tensor decomposition
Thresholded Ordered Sparse CCA
Implementations of gradKCCA
Repo for the article on "Modeling the Neurocognitive Dynamics of Language across the Lifespan"
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
Official Implementation of "Multimodal Analysis of PNC Data via Sparse GCA"
Sparse canonical correlation analysis
MATLAB and R Code for sparse GCA
PLS Lesson
Deep Canonical Correlation Analysis with Python
A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.
PhD thesis on data integration on inflammatory bowel disease
Multivariate data analysis using R Studio.
The code of the paper: M. Karami, D. Schuurmans, "Deep Probabilistic Canonical Correlation Analysis" AAAI 2021
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