High-gamma dataset described in Schirrmeister et al. 2017
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
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- 77
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- 18.5 GB
- Updated
- May 18, 2026
100 results for "sensorimotor learning" · page 7 of 10 · ranked by relevance
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
…Collaboration is highly welcome! Details of the learning task The auditory category…
…data from Mexican children with learning difficulties who strengthen reading and math…
…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…
…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
This dataset comprises EEG recordings from 12 healthy participants performing upper-limb motor imagery tasks centered on elbow movements. Participants executed kinesthetic imagery of nine goal-directed tasks (drawer opening, soup preparation, weight lifting, door opening, plate cleaning, combing, pizza cutting, and pick-and-place operations) plus rest, cued by visual stimuli. The dataset contains 330 trials recorded at 1000 Hz using 17 EEG channels and is intended for brain-computer interface research and motor imagery classification studies.
…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…
…but also enabling robust transfer learning studies for other alphabetic languages. Data…