CECNL / ExBrainable
An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
☆15Updated 2 years ago
Alternatives and similar repositories for ExBrainable:
Users that are interested in ExBrainable are comparing it to the libraries listed below
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆14Updated last year
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆19Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆33Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆41Updated 3 months ago
- ☆12Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆22Updated 3 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆58Updated last year
- EEG online experiment GUI☆15Updated last year
- ☆14Updated last year
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆12Updated 6 months ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 3 years ago
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆24Updated 2 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- ☆24Updated 2 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- code for NeurIPS_competition☆27Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- ☆20Updated 2 years ago
- M/EEG brain age benchmark paper☆26Updated 2 years ago
- ☆15Updated 3 months ago
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆23Updated 2 years ago