| CPC G06V 10/774 (2022.01) [G06V 10/40 (2022.01); G06V 10/751 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01)] | 20 Claims |

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1. A method for generating an image from functional magnetic resonance imaging (fMRI) data and electroencephalogram (EEG) data, comprising:
extracting a first feature map of the fMRI data, the first feature map being multidimensional data having a temporal dimension related to a sample collection time of the fMRI data;
converting the first feature map based on the temporal dimension of the first feature map and a first attention model;
extracting a second feature map of the EEG data, the second feature map being multidimensional data having a spatial dimension related to an electrode for collecting the EEG data;
converting the second feature map based on the spatial dimension of the second feature map and a second attention model; and
generating an image based on the converted first feature map and the converted second feature map.
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