dberma02 / GAN_for_Synthetic_EEG_DataLinks
Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks
☆13Updated 6 years ago
Alternatives and similar repositories for GAN_for_Synthetic_EEG_Data
Users that are interested in GAN_for_Synthetic_EEG_Data are comparing it to the libraries listed below
Sorting:
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆15Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Updated 3 years ago
- DDGCNN for ssvep☆15Updated 2 years ago
- ☆10Updated 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 4 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- ☆47Updated 3 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated this week
- ☆17Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆29Updated 8 months ago
- code for LMDA☆87Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 9 months ago
- ☆11Updated 3 years ago
- ☆29Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- Riemannian Geometry-Based Spatial Filtering (RSF)☆13Updated 6 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18Updated 3 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆25Updated last year
- residual deep cnn and lstm for classifying SEED data☆13Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years 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 4 years ago
- ☆39Updated last year
- ☆70Updated 2 years ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆30Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- Deep Learning with EEG.☆24Updated 3 months ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- BCI Competition IV dataset 2a☆33Updated 6 years ago