CECNL / ExBrainableLinks
An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
☆16Updated 2 years ago
Alternatives and similar repositories for ExBrainable
Users that are interested in ExBrainable are comparing it to the libraries listed below
Sorting:
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- ☆10Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- ☆12Updated last year
- ☆24Updated last month
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆16Updated last year
- MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalogr…☆19Updated 6 months ago
- How EEG preprocessing shapes decoding performance☆13Updated 2 weeks ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆62Updated last year
- Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"☆13Updated 2 years ago
- EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.☆24Updated 3 months ago
- ☆15Updated last year
- ☆62Updated last year
- Deep learning model for EEG artifact removal☆71Updated 2 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 5 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated 8 months ago
- ☆30Updated 2 months ago
- Supporting code for the GX Dataset☆23Updated this week
- EEG online experiment GUI☆18Updated 2 years ago
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆23Updated 2 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 6 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated last month
- 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
- An open source tool for large-scale EEG datasets processing☆41Updated 2 weeks ago
- ☆16Updated 5 months ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 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
- A Lightweight and High Performance Neural network for MI-EEG decoding☆26Updated 2 months ago