EEGdecoding / Code-SBLESTLinks
Matlab code for SBLEST algorithm
☆43Updated last year
Alternatives and similar repositories for Code-SBLEST
Users that are interested in Code-SBLEST are comparing it to the libraries listed below
Sorting:
- ☆65Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆69Updated last month
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 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 3 years ago
- ☆36Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- ☆14Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 4 years ago
- code for LMDA☆81Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆15Updated 2 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated 2 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated 9 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆57Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆20Updated 10 months ago
- ☆20Updated last year
- Deep Learning with EEG.☆19Updated 7 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 3 months ago
- ☆16Updated 2 years ago
- ☆21Updated 2 years ago
- ☆31Updated 7 months ago
- ☆88Updated 7 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago