MutianLiu-SHU / STA-NetLinks
A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.
☆23Updated 6 months ago
Alternatives and similar repositories for STA-Net
Users that are interested in STA-Net are comparing it to the libraries listed below
Sorting:
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆76Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆278Updated 6 months ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆24Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆94Updated last week
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆14Updated 3 years 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
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated last year
- 使用的pytorch编写的eegnet代码,方便现在进行调试☆27Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- ☆21Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- ☆71Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆79Updated 3 years ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆302Updated 2 months ago
- [Preparing] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆25Updated last week
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆13Updated 5 months ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 9 months ago
- This repo is created to provide some state-of-the-art (SOTA) deep learning-based classifier for SSVEP decoding.☆41Updated 7 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆622Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆82Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆70Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆36Updated 2 years ago
- Pytorch implementation of EEGNet.☆49Updated 2 years ago
- 常见SSVEP信号处理算法(以 空间滤波器为主)☆51Updated 5 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆175Updated last month