SCUT-IEL / SSF-CNNLinks
This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attention detection based on spectro-spatial features from EEG"
☆11Updated 3 years ago
Alternatives and similar repositories for SSF-CNN
Users that are interested in SSF-CNN are comparing it to the libraries listed below
Sorting:
- the implementation of the ASAD_DenseNet☆29Updated 3 months ago
- 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
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated 2 years ago
- Pytorch/Python implementation of the joint CNN-LSTM deep learning model☆25Updated 3 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆61Updated 3 months ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆51Updated last month
- Deep learning model for EEG artifact removal☆74Updated 3 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆76Updated 3 weeks ago
- ☆11Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆21Updated 3 years ago
- ☆34Updated 7 months ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆54Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago
- ☆31Updated last year
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆21Updated 3 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☆37Updated 3 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- ☆66Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆50Updated last month
- Emotion recognition base on EEG.☆16Updated 2 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆91Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- ☆25Updated 7 months ago