snailpt / MSCFormerLinks
Multi-Scale Convolutional Transformer Network for Motor Imagery Brain-Computer Interface
☆110Updated 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☆91Updated 5 months ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆325Updated 2 months ago
- ☆18Updated 11 months ago
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆25Updated 3 years ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆24Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆297Updated 3 weeks ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆14Updated 7 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆82Updated 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☆28Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 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
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆11Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- code for LMDA☆86Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 3 years ago
- ☆87Updated 4 years ago
- ☆30Updated 3 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆76Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆87Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 7 months ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆50Updated 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