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Brain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
Reconstructing visual stimuli from electroencephalography (EEG) is difficult because scalp measurements have high temporal but limited spatial resolution, and paired EEG-image datasets remain small relative to modern generative-model training corpora. We present a reproducible single-subject baselin
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