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A repository including multiple attentional modules designs for brain signal recognition tasks.
deep learning for image processing including classification and object-detection etc.
Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”
A list of all public EEG-datasets
关于一篇经典的---认知任务量的深度学习解码方法
EEG-Based Emotion Recognition
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
EEG emotion recognition with graph isomorphism network (GIN)
Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
使用4D切片方式,利用深度学习从时、频、空间域进行EEG情绪识别解码
Public fNIRS dataset
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Takagi and Nishimoto, CVPR 2023
测试的仓库
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.