Average Task Value
…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 4
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "Motor Learning" · page 7 of 10 · ranked by relevance
…Value Twelve participants completed three learning tasks. In each task the goal…
…An investigation of in-ear sensing for motor task classification. Journal of…
This dataset contains 64-channel EEG recordings from 62 participants (31 pairs) who played a competitive, computerised version of the Rock-Paper-Scissors game across 480 games. The study investigates the neural correlates of competitive decision-making during real-time social interaction. This dataset supports research on neural decoding of strategic choices in a dyadic competitive context.
…Online performance is reported for three completely unsupervised learning methods: (1) learning…
…Cue-based motor imagery paradigm (Step B of Brain Switch campaign) for…
This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.
…brain-computer interface, motor imagery, EEG, distraction, open access, BCI Abstract -------- We…
…Time to re-acquire after premature exit - **Learning effects**: Improvement from practice…
…motor imagery, compound limb motor imagery, EEG oscillatory patterns, cognitive process, effective…
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…