snailpt / MSCFormerLinks
Multi-Scale Convolutional Transformer Network for Motor Imagery Brain-Computer Interface
☆103Updated 3 weeks ago
Alternatives and similar repositories for MSCFormer
Users that are interested in MSCFormer are comparing it to the libraries listed below
Sorting:
- Residual and bidirectional LSTM for epileptic seizure detection☆85Updated last month
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆294Updated 2 weeks ago
- ☆14Updated 6 months ago
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆22Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆21Updated 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…☆12Updated 3 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☆27Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆269Updated 4 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆597Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆75Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆35Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- code for LMDA☆83Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated 2 weeks ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆77Updated 3 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆22Updated last year
- 使用的pytorch编写的eegnet代码,方便现在进行调试☆24Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆29Updated last week
- ☆37Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆68Updated 2 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆16Updated last year
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago