wzhlearning / fNIRS-TransformerLinks
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
☆70Updated 4 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:
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆23Updated 11 months ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆22Updated 11 months ago
- code for LMDA☆80Updated last year
- ☆68Updated 3 years ago
- Public fNIRS dataset☆40Updated 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
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- ☆12Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆62Updated last year
- Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors☆29Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆76Updated 6 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 3 weeks ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆42Updated last year
- Python A novel multimodal approach for hybridbrain-computer interface☆17Updated 5 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆18Updated 2 months ago
- ☆11Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 2 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆153Updated 5 months ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 9 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- ☆12Updated 2 years ago
- EEG 脑电 数据集 DEAP SEED☆30Updated this week
- Tutorial for data processing for hybrid BCI☆39Updated 7 years ago