Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for Motor Imagery Brain-computer Interfaces." IEEE Transactions on Industrial Informatics (2022).
☆21Dec 18, 2022Updated 3 years ago
Alternatives and similar repositories for EEG-ARNN
Users that are interested in EEG-ARNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 5 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Dec 11, 2020Updated 5 years ago
- ☆13Nov 15, 2022Updated 3 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Sep 24, 2020Updated 6 years ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Aug 19, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆41May 28, 2024Updated 2 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆21Jun 7, 2021Updated 5 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆199May 10, 2025Updated last year
- This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT…☆14Jul 21, 2025Updated last year
- ☆22Aug 10, 2023Updated 3 years ago
- A novel graph-temporal model designed for subject-invariant and session-invariant motor imagery EEG (MI-EEG) classification☆12May 24, 2025Updated last year
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆22Feb 14, 2024Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆75Apr 30, 2024Updated 2 years ago
- ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures☆17Mar 8, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Jul 7, 2021Updated 5 years ago
- Improving BCIs with generative models synthesizing realistic EEG signals. Co-authored research paper: https://arxiv.org/abs/2402.09453☆11Oct 18, 2025Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆108Jun 21, 2023Updated 3 years ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- ☆15Nov 9, 2023Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Aug 20, 2023Updated 3 years ago
- ☆14Mar 1, 2024Updated 2 years ago
- ☆18May 21, 2025Updated last year
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆183Oct 8, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Perform EEG Channel selection with Gumbel-softmax☆13Jan 5, 2021Updated 5 years ago
- code for LMDA☆91Jul 14, 2023Updated 3 years ago
- ☆17Dec 16, 2024Updated last year
- Pytorch implementation of EEGNet.☆54Oct 27, 2022Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆87Sep 26, 2026Updated last month
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆45Sep 9, 2023Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆84Apr 7, 2022Updated 4 years ago
- ☆15Dec 18, 2019Updated 6 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆170Jul 13, 2026Updated 3 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The repo contains open-source code and dataset related to my publication "Classification of Hand-Grasp Movements of Stroke Patients using…☆18Aug 21, 2022Updated 4 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 4 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆25Sep 22, 2022Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆93Aug 3, 2024Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆48Jan 4, 2024Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆27Apr 18, 2024Updated 2 years ago
- ☆184Nov 3, 2022Updated 4 years ago