Altaheri / EEG-ATCNetLinks
Attention temporal convolutional network for EEG-based motor imagery classification
☆310Updated last month
Alternatives and similar repositories for EEG-ATCNet
Users that are interested in EEG-ATCNet are comparing it to the libraries listed below
Sorting:
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆84Updated last year
- code for LMDA☆87Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- ☆92Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆172Updated 5 years ago
- Pytorch implementation of EEGNet.☆52Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194Updated 8 months ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 8 months ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆344Updated 2 weeks ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated last week
- ☆40Updated last year
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆332Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆15Updated 8 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- ☆21Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆37Updated 10 months ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆47Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆90Updated 3 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆154Updated 2 months ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆155Updated 5 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆66Updated 2 years ago