cuijiancorbin / Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCIView on GitHub
In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG-based BCI. The methods include: gradient×input, DeepLIFT, integrated gradient, layer-wise relevance propagation (LRP), saliency map, deconvolution, and guided backpropagation
☆16Mar 15, 2022Updated 4 years ago
Alternatives and similar repositories for Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
Users that are interested in Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on c…☆14Dec 5, 2025Updated 8 months ago
- Source code for self-supervised EEG data transfer learning☆14Feb 9, 2022Updated 4 years ago
- ☆30Dec 4, 2024Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Nov 2, 2020Updated 5 years ago
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆14Aug 20, 2023Updated 2 years ago
- How EEG preprocessing shapes decoding performance☆17Jul 11, 2025Updated last year
- ☆12May 25, 2023Updated 3 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆16Dec 10, 2020Updated 5 years ago
- [TNSRE 23] Global Adaptive Transformer for Cross-Subject EEG Classification.☆33Jan 11, 2024Updated 2 years ago
- Evaluating the role of EEG preprocessing for deep learning applications.☆16Mar 10, 2025Updated last year
- Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)☆45Sep 15, 2019Updated 6 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Apr 18, 2022Updated 4 years ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆21Mar 2, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Benchmark for Brain Computer Interface methods☆19Feb 1, 2025Updated last year
- Python routines for parsing of combined EEG and eye-tracking data☆25Jun 10, 2025Updated last year
- Explore the differences between sliding window and full-epoch models on MEG data and use PFI to uncover neuroscientific insights.☆18May 21, 2024Updated 2 years ago
- Deep learning model for EEG artifact removal☆86Jun 16, 2022Updated 4 years ago
- Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.☆46Jun 9, 2026Updated 2 months ago
- ☆18Mar 30, 2025Updated last year
- A toolbox for EEG signals processing. Welcome to join and build!☆13Nov 9, 2022Updated 3 years ago
- This project contains the code for a deep learning architecture to analyze EEG data.☆59Feb 17, 2025Updated last year
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆20Jan 1, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 3 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 4 years ago
- This is a demonstration to show how to calculate power spectra and power spectral densities in real time. We calculate power spectra dire…☆14Oct 2, 2018Updated 7 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆85Jan 10, 2026Updated 6 months ago
- Player tracking and football analysis☆17Oct 18, 2024Updated last year
- ☆23Apr 24, 2026Updated 3 months ago
- Riemannian Geometry-Based Spatial Filtering (RSF)☆21Jun 22, 2025Updated last year
- Domain Adaptation benchmark☆27Dec 20, 2024Updated last year
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Sep 12, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Jan 27, 2021Updated 5 years ago
- MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization☆21Jun 2, 2019Updated 7 years ago
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17May 30, 2021Updated 5 years ago
- Implement TRCA algorithm for ssvep signal classification☆18Dec 15, 2019Updated 6 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago
- ☆11Sep 21, 2024Updated last year
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Oct 25, 2022Updated 3 years ago