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 |
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.