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Generate your neural signals from mine: individual-to-individual EEG converters. (arXiv:2304.10736v1 [q-bio.NC])
cs.CV updates on arXiv.org arxiv.org
Most models in cognitive and computational neuroscience trained on one
subject do not generalize to other subjects due to individual differences. An
ideal individual-to-individual neural converter is expected to generate real
neural signals of one subject from those of another one, which can overcome the
problem of individual differences for cognitive and computational models. In
this study, we propose a novel individual-to-individual EEG converter, called
EEG2EEG, inspired by generative models in computer vision. We applied THINGS
EEG2 dataset to train …
arxiv bio cognitive computational computer computer vision dataset eeg generative generative models independent neuroscience novel study test vision