YOTO (You Only Think Once): A Human EEG Dataset for Multisensory Perception and Mental Imagery
The YOTO (You Only Think Once) dataset presents a human electroencephalography (EEG) resource for exploring multisensory perception and mental imagery. The study enrolled 26 participants who performed tasks involving both unimodal and multimodal stimuli. Researchers collected high-resolution EEG signals at a 1000 Hz sampling rate to capture fine-grained neural activity related to internal mental representations. The dataset includes resting-state and task-based recordings, which permits direct comparisons between spontaneous brain activity and controlled mental imagery. The protocol incorporated visual, auditory, and combined cues to investigate the integration of multiple sensory channels, and participants provided self-reported vividness ratings that indicate subjective perceptual strength. The YOTO dataset addresses challenges in mental imagery research by offering a systematic and standardized platform with rigorous artifact rejection methods. Technical validation involved event-related potentials (ERPs) and power spectral density (PSD) analyses, which demonstrated the reliability of the data and confirmed distinct neural responses across stimuli. This dataset aims to foster studies on neural decoding, perception, and cognitive modeling, and it is publicly accessible for researchers who seek to advance multimodal mental imagery research and related applications.