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  • GitHub - Want2Vanish FBMSNet: This is the PyTorch implementation of the . . .
    FBMSNet consists of four blocks, (1) a temporal convolution block, (2) a spatial convolution block, (3) a temporal log-variance block, and (4) a fully connected layer for classification The first block is designed to learn the multiscale temporal information from the multiview EEG representations, and the second block aims to learn the spatial
  • GitHub - user-yifanjiang MBSSFCC: TensorFlow Matlab
    Detecting the locus of auditory attention based on the spectro-spatial-temporal analysis of EEG This repository contains the python scripts developed as a part of the work presented in the paper "Detecting the locus of auditory attention based on the spectro-spatial-temporal analysis of EEG"
  • Ktn1ga EEG_FACT - GitHub
    @ARTICLE{FACTNet4MIEEG, author={Ke, Sixiong and Yang, Banghua and Qin, Yiyang and Rong, Fenqi and Zhang, Jiayang and Zheng, Yanyan}, journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering}, title={FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding}, year={2024}, volume={32}, number={}, pages={4131-4142}, keywords
  • GitHub - DAHEZI12138 ISMDA: EEG-Based Motor Imagery Recognition . . .
    EEG-Based Motor Imagery Recognition Framework via Multi-Subject Dynamic Transfer and Iterative Self-Training - DAHEZI12138 ISMDA GitHub Advanced Security Find and fix vulnerabilities Actions Automate any workflow and the attention maps of the spatial filters connected behind them Contact He Wang
  • CoSineZxc Regularized-Common-Spatial-Patterns - GitHub
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  • Platform for spatial analysis and experimental design - GitHub
    It is a complete set of tools that enables researchers to perform motor control, spatial and navigational behavior experiments within interactive and extendable 3D virtual environments MazeSuite can be used to design and visualize 3D environments, as well as track subjects’ behavioral performance
  • Attention-based convolutional neural network with multi-modal temporal . . .
    Brain–computer interface (BCI) is an emerging technology that provides direct communication between the human brain and external devices via brain signals [1] BCI based on non-invasive electroencephalography (EEG), which measures electrical activity on the scalp, has been widely used because of its convenience and safety [2] Many EEG-based BCI systems have been proposed to control external
  • EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network . . .
    Detecting driver fatigue is critical for ensuring traffic safety Electroencephalography (EEG) is the golden standard for brain activity measurement and is considered a good indicator of detecting driver fatigue However, the current driver fatigue detection algorithm has limitations in mining and fusing the spatiotemporal characteristics of EEG signals In this paper, we propose a multi
  • eeg-classification · GitHub Topics · GitHub
    GitHub is where people build software More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects deep-learning eeg transformer attention vit attention-mechanism physiological-signals common-spatial-pattern eeg-classification Updated Mar 23, 2023; Python; IoBT-VISTEC MIN2Net Star 79
  • GitHub - IoBT-VISTEC EEGANet: EEG Artifact Removal Using Deep Learning . . .
    EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics) - IoBT-VISTEC EEGANet
  • eeg-analysis · GitHub Topics · GitHub
    GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects machine-learning deep-learning eeg feature-extraction kaggle-competition motor-imagery-classification eeg-analysis eeg-classification spatial-filtering preprocessing-pipeline Updated Apr 9, 2024
  • eeg-classification · GitHub Topics · GitHub
    GitHub is where people build software More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects deep-learning eeg transformer attention vit attention-mechanism physiological-signals common-spatial-pattern eeg-classification Updated Mar 23, 2023; Python; SuperBruceJia EEG-Motor-Imagery
  • GitHub - zwcolin EEG-Transformer: A ViT based transformer applied on . . .
    A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification This repo is part of the final project for COGS 189: Brain Computer Interfaces at the University of California, San Diego, Winter 2022
  • eeg-classification · GitHub Topics · GitHub
    GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects deep-learning eeg transformer attention vit attention-mechanism physiological-signals common-spatial-pattern eeg-classification Updated Mar 23, 2023; Python; emadeldeen24 AttnSleep Star 235





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