FRESH Motor Dataset
[ 5. Active motor (Act…
This dataset comprises intracranial electroencephalography (iEEG) recordings from ten epilepsy patients performing a visuomotor task (Speed Match) during interictal periods. The dataset includes continuous iEEG data across five sessions per subject, with detailed channel information and trial timing annotations. This resource provides a unique opportunity to investigate neural correlates of visuomotor processing in patients with implanted electrodes for seizure localization.
This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
…4-class motor imagery (Dataset 2a) BNCI2014_002 : 2-class motor imagery…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
This dataset comprises multimodal neurophysiological and kinematic recordings from 25 participants engaged in real-world table tennis gameplay. The collection includes high-density dual-layer electroencephalography, cervical electromyography, inertial measurement unit acceleration data, structural MRI, and synchronized video recordings. Participants completed 60 minutes of table tennis play against both a ball machine and human opponent, with 10 minutes of standing baseline recording. Processed data include independent component analysis decomposition and dipole modeling for EEG signals.
…A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral…
…brain-computer interface, motor imagery, EEG, distraction, open access, BCI Abstract -------- We…
…The offline experiments consisted of recording participants´ EEG signals during motor imagery…