UM-Tao / ADFCNN-MILinks
☆31Updated 4 months ago
Alternatives and similar repositories for ADFCNN-MI
Users that are interested in ADFCNN-MI are comparing it to the libraries listed below
Sorting:
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- code for LMDA☆87Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆89Updated last week
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated last week
- ☆29Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆90Updated 3 years ago
- ☆21Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆37Updated 10 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆74Updated last year
- ☆19Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆63Updated 3 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 5 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆66Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"☆21Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 9 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- Deep Learning with EEG.☆24Updated 3 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆101Updated 6 months ago
- ☆92Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 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
- ☆32Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- ☆48Updated 3 months ago
- Emotion recognition base on EEG.☆19Updated 2 years ago