nikk-nikaznan / SSVEP-Neural-Generative-Models
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
☆66Updated 7 months ago
Alternatives and similar repositories for SSVEP-Neural-Generative-Models:
Users that are interested in SSVEP-Neural-Generative-Models are comparing it to the libraries listed below
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆19Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆57Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- ☆30Updated 2 years ago
- Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'☆23Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆40Updated 2 months ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆38Updated 6 months ago
- Python implemementation of the FBCSP algorithm☆32Updated 8 months ago
- DDGCNN for ssvep☆11Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆42Updated 7 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆60Updated 2 months ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆156Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 6 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆59Updated last year
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆139Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- ☆28Updated 6 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 2 years ago
- ☆72Updated 2 years ago
- Deep learning model for EEG artifact removal☆63Updated 2 years ago
- 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☆38Updated 3 years ago
- ☆43Updated 5 years ago
- Implementation of EEG signal classification.☆49Updated 8 years ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 5 months ago