xiangzhang1015 / Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
☆223Updated 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
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆213Updated 8 months ago
- Generate statistical features from Electroencephalographic data☆86Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆70Updated 9 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆497Updated 6 months ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆296Updated 5 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆178Updated last year
- 🧠 Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)☆68Updated 4 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆269Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆139Updated last year
- ☆130Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆215Updated 2 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆59Updated last year
- Material for Pybrain 2020 MNE-Python workshop☆130Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆154Updated 9 months ago
- ☆161Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆280Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆123Updated 2 months ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated last year
- EEG Emotion classification using the DEAP pre-processed data☆140Updated 6 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆37Updated last year
- EEG motor-imagery data analysis using MNE and Pytorch☆31Updated 3 years ago
- Youtube codes☆25Updated last year
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆388Updated 11 months ago
- ☆103Updated 5 years ago
- Python Brain-Computer Interface Software☆133Updated this week
- 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
- Mother of All BCI Benchmarks☆736Updated this week