TX14
…more reliance on computers and machines. This move from traditional warfare to…
- Participants
- 20
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 7.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "human-machine interaction" · page 1 of 10 · ranked by relevance
…more reliance on computers and machines. This move from traditional warfare to…
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
…No constraints are imposed on interaction style. **Video Monitor condition (5 min…
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
…A generic non-invasive neuromotor interface for human-computer interaction. Nature, 645…
…generic model hyperparameters ## Use Cases ### Machine Learning - **Sequence-to-sequence learning**: Similar…
This dataset contains EEG recordings from twenty-one participants performing a continuous feedback learning task in which they predicted the final height of an animated rising bar following different predictive cues. The task manipulated outcome predictability (highly predictable, somewhat predictable, unpredictable) using cued gnome stimuli, allowing investigation of neural correlates of continuous feedback and reward prediction processing.
…Different paradigms have been used to enable the human-machine interaction and…
…multimodal recordings from a brain–machine interface (BMI) training study involving seven…
…Signatures of electrical stimulation driven network interactions in the human limbic system…