chenxiachan / EEGNeX
About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
☆60Updated last year
Alternatives and similar repositories for EEGNeX:
Users that are interested in EEGNeX are comparing it to the libraries listed below
- code for LMDA☆79Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆65Updated last month
- Matlab code for SBLEST algorithm☆41Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆20Updated 2 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆42Updated last year
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆61Updated 4 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆69Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆125Updated last year
- DDGCNN for ssvep☆14Updated last year
- ☆60Updated 2 years ago
- ☆65Updated 3 years ago
- ☆33Updated 10 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆17Updated 7 months ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 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
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆67Updated 9 months ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆20Updated 10 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆39Updated last year
- ☆59Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆141Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago