Model-based aversive learning in humans is supported by preferential task state reactivation
…the paper "Model-based aversive learning in humans is supported by preferential…
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- v1.0.0
- Updated
- Jun 22, 2026
100 results for "motor skill learning" · page 6 of 10 · ranked by relevance
…the paper "Model-based aversive learning in humans is supported by preferential…
…82901/nemar.on004295) 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.
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
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.
…Value Twelve participants completed three learning tasks. In each task the goal…
…4-class motor imagery (Dataset 2a) BNCI2014_002 : 2-class motor imagery…
…For learning trial 1, participants are placed at a random location at…
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…