on005028
Comparing P300 Flashing paradigms in online typing with language models
EEG
Imported from OpenNeuro ds005028
- Participants
- 11
- Citations
- 2
- Size
- 1.46 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
86 results for "adaptive neurostimulation" · page 9 of 9 · ranked by relevance
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- on003810
Motor Imagery vs Rest - Low-Cost EEG System
EEGThis dataset comprises electroencephalography (EEG) signals acquired from 10 naive participants using a low-cost consumer-grade EEG device during a motor imagery brain-computer interface protocol. Participants performed kinesthetic imagination of dominant-hand grasping movements and rest conditions across five protocol runs, with electromyography (EMG) recorded from the dominant hand for protocol validation. EEG signals were bandpass-filtered between 0.5 and 45 Hz using a 3rd-order Butterworth filter at a sampling rate of 125 Hz.
- Participants
- 10
- Channels
- 15 (10-20)
- Citations
- 66
- Size
- 69.3 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- on006035
somatomotor
ANAT MEGThis dataset comprises multi-subject, multi-modal neuroimaging recordings (structural MRI, MEG, and EEG) collected during a median nerve stimulation paradigm. Participants received electrical stimuli to the right wrist median nerve and responded by lifting their left index finger as quickly as possible. The dataset supports investigation of somatosensory and motor cortical responses using combined MEG/EEG/MRI methodology.
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000165
MUniverse Grison et al 2025
EMGBIDS-EMG dataset from Grison et al. 2025 - HDsEMG recordings of tibialis anterior during isometric contractions at 10-70% MVC, 1 subject, 128-channel grids (2x64), with concurrent intramuscular EMG ground truth labels (MUniverse benchmark)
- Participants
- 1
- Size
- 2.68 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models
EEGThis dataset contains EEG recordings from 10 healthy adults performing a P300 speller task using a 6x6 character matrix, under two stimulus conditions (Famous Faces overlay and Inverting). Data were collected across two sessions per subject with three runs each, using a 32-channel g.tec EEG system at 256 Hz. The dataset is a BIDS-formatted derivative generated via MOABB from the original data reported in Speier et al. (2017), which compared classification approaches for the P300 speller using language models.
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 28
- HED
- v8.4.0
- Size
- 773 MB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- on004850
ODE
EEGImported from OpenNeuro ds004850
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 1
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026