LiangXiaohan506 / EISATC-FusionLinks
☆13Updated 2 months ago
Alternatives and similar repositories for EISATC-Fusion
Users that are interested in EISATC-Fusion are comparing it to the libraries listed below
Sorting:
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- ☆21Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- ☆25Updated 7 months ago
- code for LMDA☆82Updated 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 …☆19Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- ☆23Updated last year
- Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data☆10Updated 3 years ago
- ☆84Updated 3 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆27Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- ☆22Updated 5 years ago
- ☆14Updated 4 years ago
- ☆13Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated this week
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆62Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆74Updated 11 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆83Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 2 months ago
- ☆37Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 years ago