FRESH Motor Dataset
[ Two reversal learning tasks with different reinforcer (monetary reward…
…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
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.
…Passive motor (Pass-Mot, Biodex-driven arm movement) 5. Active motor (Act…
…4-class motor imagery (Dataset 2a) BNCI2014_002 : 2-class motor imagery…
…two-class motor imagery with arrow cues - **Feedback type**: none - **Stimulus type…
…Classical left/right hand motor imagery with passive rest - **Feedback type**: none…
…2020 Motor imagery dataset from Ma et al. 2020. ## Dataset Overview - **Code…
This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.