In this paper, we introduce fMRI2text, a novel open-vocabulary task for converting fMRI time series to human language, and presents UniCoRN, a model that decodes text from fMRI and EEG signals better than the previous baseline, demonstrating the potential for real-world brain-computer interface applications.
