thesujitroy / Deep-neural-network-Transfer-learning-EEG-MEG-
☆8Updated 3 years ago
Alternatives and similar repositories for Deep-neural-network-Transfer-learning-EEG-MEG-:
Users that are interested in Deep-neural-network-Transfer-learning-EEG-MEG- are comparing it to the libraries listed below
- MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…☆24Updated 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
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- ☆9Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- Temporal information enhanced EEGNet☆13Updated 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
- ☆15Updated 2 months ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆13Updated 4 years ago
- 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
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆19Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated 2 years ago
- ☆22Updated 5 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆21Updated 3 years ago
- ☆28Updated 7 months ago
- CNN-Former model with EEG-ME for SSVEP classification☆12Updated 5 months ago
- implementation of FBCSP algorithm☆25Updated 5 years ago
- ☆12Updated 2 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆25Updated 2 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆62Updated 3 months ago
- ☆29Updated 2 years ago
- This is a community implementation of EEG-ConvTransformer☆18Updated last year
- EEG Signal Processing - Entropy☆17Updated 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…☆21Updated 2 years ago
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- code for NeurIPS_competition☆27Updated 3 years ago
- ☆13Updated 4 months ago