Altaheri / EEG-ATCNetLinks
Attention temporal convolutional network for EEG-based motor imagery classification
☆262Updated 2 months ago
Alternatives and similar repositories for EEG-ATCNet
Users that are interested in EEG-ATCNet are comparing it to the libraries listed below
Sorting:
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- code for LMDA☆80Updated last year
- ☆82Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆177Updated 3 weeks ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆301Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆162Updated 5 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆233Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆223Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆173Updated 2 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆569Updated 10 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆153Updated 5 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆15Updated 6 months ago
- 在 SEED 数据集上做 EEG 情绪识别☆110Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆277Updated 3 weeks ago
- Including some machine learning and artificial intellegent examples☆92Updated 2 months ago
- ☆36Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆76Updated 6 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆119Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago