Henrywang621 / DL-based-MI-EEG-modelsLinks
This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly compare these models.
☆12Updated 3 months ago
Alternatives and similar repositories for DL-based-MI-EEG-models
Users that are interested in DL-based-MI-EEG-models are comparing it to the libraries listed below
Sorting:
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆22Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆269Updated 4 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆75Updated last year
- 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☆27Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- code for LMDA☆82Updated 2 years ago
- ☆21Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆24Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- ☆83Updated 3 years ago
- ☆13Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆76Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆293Updated 2 weeks ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆16Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆83Updated 3 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆35Updated 2 years ago
- ☆37Updated last year
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago