wzhlearning / fNIRS-TransformerLinks
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
☆72Updated 5 months ago
Alternatives and similar repositories for fNIRS-Transformer
Users that are interested in fNIRS-Transformer are comparing it to the libraries listed below
Sorting:
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- code for LMDA☆81Updated 2 years ago
- Deep learning model for EEG artifact removal☆74Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- ☆71Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆179Updated 2 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆200Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆268Updated 3 months ago
- Python A novel multimodal approach for hybridbrain-computer interface☆17Updated 5 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆238Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆45Updated 7 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆76Updated 3 weeks ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 10 months ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆23Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆74Updated 11 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 3 weeks ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- This repo is created to provide some state-of-the-art (SOTA) deep learning-based classifier for SSVEP decoding.☆37Updated 4 months ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- DDGCNN for ssvep☆15Updated last year