LGong666 / EEG_ACTNNLinks
☆11Updated 2 years ago
Alternatives and similar repositories for EEG_ACTNN
Users that are interested in EEG_ACTNN are comparing it to the libraries listed below
Sorting:
- ☆17Updated 2 years ago
- residual deep cnn and lstm for classifying SEED data☆13Updated 2 years ago
- A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.☆12Updated 3 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- ☆100Updated last year
- This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attentio…☆10Updated 4 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆87Updated 4 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆123Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- ☆35Updated last year
- 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☆37Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interface☆14Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆146Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆53Updated 4 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆73Updated last year
- Implement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset☆18Updated 5 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 7 months ago
- ☆39Updated last year
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆14Updated 8 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆19Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces☆25Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆117Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 5 months ago
- ☆29Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆28Updated last year