wzhlearning / fNIRS-Transformer
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
☆68Updated 3 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☆20Updated 11 months ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆21Updated 10 months ago
- ☆67Updated 3 years ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- code for LMDA☆79Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆41Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆12Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- Public fNIRS dataset☆39Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆71Updated 9 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆129Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 8 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆66Updated 2 weeks ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆61Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆72Updated 5 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆88Updated 4 years ago
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆14Updated 2 months ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Accompanying code repository for NEMO, A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy☆12Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆107Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- ☆11Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Tutorial for data processing for hybrid BCI☆38Updated 7 years ago
- ☆12Updated 2 years ago