mauricio-ms / motor-imagery-deep-learning
Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.
☆12Updated last year
Related projects: ⓘ
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Updated last year
- EEG motor imagery classification using convolutional neural networks☆31Updated last year
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆19Updated 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…☆15Updated last year
- ☆23Updated last month
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆38Updated last year
- ☆42Updated 5 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆14Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆48Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆32Updated 11 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆29Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- ☆32Updated this week
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆36Updated 2 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆11Updated 10 months ago
- DDGCNN for ssvep☆10Updated 9 months ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆48Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆41Updated 3 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆79Updated 2 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆21Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆30Updated last year
- Python implemementation of the FBCSP algorithm☆32Updated 3 months ago
- implementation of FBCSP algorithm☆23Updated 5 years ago
- Athena is a library that comprises many different bci frameworks that perform classification on a set of eeg data.☆19Updated last year
- ☆27Updated 6 years ago
- ☆39Updated last year