erinqhu / EEG-motor-imageryLinks
ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification
☆50Updated 4 years ago
Alternatives and similar repositories for EEG-motor-imagery
Users that are interested in EEG-motor-imagery are comparing it to the libraries listed below
Sorting:
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated last week
- ☆13Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- ☆21Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆94Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆70Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- ☆32Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆63Updated last year
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆80Updated 3 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- 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
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆140Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆83Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆68Updated 6 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- ☆83Updated 4 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 3 years ago
- ☆37Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆47Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆78Updated last year
- Pytorch implementation of EEGNet.☆49Updated 3 years ago