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洞見 - EEG-based Image Reconstruction
Reconstructing Visual Stimulus Images from EEG Signals Using Deep Visual Representation Model
The author proposes a novel method using EEG signals to reconstruct visual stimulus images, emphasizing the advantages of low cost and portability compared to fMRI-based methods.
Decoding Visual Perception from Electroencephalography Using Latent Diffusion Modeling
This study demonstrates the feasibility of reconstructing visual images from electroencephalography (EEG) data using a latent diffusion modeling approach, despite the inherent limitations of EEG in spatial resolution and visual information encoding.
