Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by Xinqiao Zhao , Hongmiao Zhang , Member, IEEE, Guilin Zhu, Fengxiang You, Shaolong Kuang, Member, IEEE, and Lining Sun
☆18Jul 7, 2021Updated 4 years ago
Alternatives and similar repositories for MB3DCNN
Users that are interested in MB3DCNN are comparing it to the libraries listed below
Sorting:
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆12Mar 25, 2023Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆43Mar 25, 2023Updated 2 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Jul 28, 2022Updated 3 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆72Apr 23, 2023Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Oct 27, 2022Updated 3 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆26May 30, 2023Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆24Jun 7, 2022Updated 3 years ago
- Collection of materials and links to talks given, tools presented, software demos etc.☆13Jun 8, 2023Updated 2 years ago
- ☆45Apr 13, 2019Updated 6 years ago
- ☆35Jul 22, 2024Updated last year
- Code for ASFA ("Privacy-Preserving Domain Adaptation for Motor Imagery-based Brain-Computer Interfaces")☆16Jan 31, 2023Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Apr 16, 2021Updated 4 years ago
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 4 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Oct 29, 2025Updated 4 months ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Sep 12, 2020Updated 5 years ago
- Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/☆16Jan 13, 2019Updated 7 years ago
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 3 years ago
- ☆15Nov 9, 2023Updated 2 years ago
- Class to automatic create Convolutional Neural Network in PyTorch☆15Aug 14, 2021Updated 4 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆41Aug 14, 2024Updated last year
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Mar 30, 2021Updated 4 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Sep 13, 2020Updated 5 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆114Oct 14, 2019Updated 6 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆321Nov 29, 2025Updated 3 months ago
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆24Jun 28, 2022Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Mar 26, 2020Updated 5 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆42Apr 30, 2023Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Dec 18, 2022Updated 3 years ago
- CNN and RNN based architectures for Motor Imagery Classification☆15Jun 13, 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
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆175May 30, 2022Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Aug 16, 2022Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆48Jan 4, 2024Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194May 10, 2025Updated 9 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Nov 25, 2023Updated 2 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆20Jul 5, 2020Updated 5 years ago
- ☆21Jun 22, 2022Updated 3 years ago