xiangzhang1015 / Deep-Learning-for-BCILinks
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
☆263Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-for-BCI
Users that are interested in Deep-Learning-for-BCI are comparing it to the libraries listed below
Sorting:
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆229Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆211Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆330Updated 6 years ago
- Generate statistical features from Electroencephalographic data☆94Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆95Updated 4 months ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆69Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆154Updated last year
- ☆108Updated 6 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆155Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆281Updated last week
- Deep learning model for EEG artifact removal☆77Updated 3 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆77Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆47Updated 10 months ago
- ☆131Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆168Updated 5 years ago
- This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to …☆27Updated 4 months ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆183Updated 4 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆627Updated last year
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆184Updated last year
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆45Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆36Updated 4 months 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…☆166Updated 3 years ago