bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG
☆21Updated 2 years ago
Alternatives and similar repositories for Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG:
Users that are interested in Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG are comparing it to the libraries listed below
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months 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
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 5 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆54Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years 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
- ☆27Updated 7 years ago
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- ☆43Updated 6 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- Implementation of EEG signal classification.☆50Updated 8 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆36Updated 6 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 4 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- ☆29Updated 3 weeks ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆20Updated 2 years ago
- ☆20Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 2 years ago
- 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