BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
…from moabb.paradigms import MotorImagery paradigm = MotorImagery() dataset = Beetl2021_B() X, y…
- Participants
- 2
- HED
- v8.4.0
- Size
- 31.3 MB
- Updated
- Jun 23, 2026
100 results for "cognitive-motor integration" · page 8 of 10 · ranked by relevance
…from moabb.paradigms import MotorImagery paradigm = MotorImagery() dataset = Beetl2021_B() X, y…
[ BNCI2014_002 : 2-class motor imagery…
…from moabb.paradigms import MotorImagery paradigm = MotorImagery() dataset = Beetl2021_A() X, y…
…The offline experiments consisted of recording participants´ EEG signals during motor imagery…
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed data suitable for investigating neural correlates of binary choice behavior and semantic processing.
…Immigration, climate change, EU expansion, gender equality, vegetarianism, and cultural integration. * **Task…
This dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004660-blue…