intsystems / CreationOfIntelligentSystems_Simultaneous_fMRI-EEG

The problem of decoding simultaneously collected EEG-fMRI data is under investigation.
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Visual stimuli reconstruction from simultaneous fMRI-EEG signals

Title Visual stimuli reconstruction from simultaneous fMRI-EEG signals
Authors Daniil Dorin, Nikita Kiselev, Ernest Nasyrov, Kirill Semkin
Advisor Vadim Strijov, DSc
Consultant Andrey Grabovoy, PhD

🔎 Idea and Novelty

💡 Abstract

The study investigates the task of reconstructing visual stimuli from simultaneous functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) signals. A novel method for reconstructing visual stimuli using diffusion neural networks has been proposed. A technique for encoding simultaneous fMRI and EEG data has been developed, and supervised learning has been applied to train the encoding architecture. Experiments were conducted on a state-of-the-art dataset with a large number of participants.

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