on007114
SUBEMOcondEEG1
BEH EEG
[
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neurophysiological biomarkers" · page 10 of 10 · ranked by relevance
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- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEGThis dataset contains intracranial electrophysiology recordings and behavioral data from a categorized free recall task with real-time closed-loop brain stimulation during encoding. Participants studied semantically organized word lists, performed distractor tasks, and freely recalled items while a machine learning classifier trained on prior sessions predicted subsequent memory performance and triggered stimulation for low-confidence encoding events. The study demonstrates the application of predictive neural decoding to modulate memory encoding through targeted electrical stimulation.
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004389
Somatosensory evoked potentials in the human spinal cord to mixed and sensory nerve stimulation
EEG[
- Citations
- 1
- Size
- 376 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005779
Real-time personalized brain state-dependent TMS in healthy adults
EEGThis 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.
- Participants
- 19
- Channels
- 70 (10-10)
- Citations
- 12
- Size
- 88.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG…project ran *** - [ To understand the neurophysiological responses of visual processing, we investigated…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000176
BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects)
EEG- Participants
- 5
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 165 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000189
BNCI 2015-003 P300 dataset
EEG- Participants
- 10
- Channels
- 8 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 20.7 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005131
Evoked responses to elevated sounds
BEH EEG[
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000313
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study S2)
EEGBigP3BCI Study S2 is a P300-based brain-computer interface dataset comprising EEG recordings from 24 healthy subjects performing a 9x8 house/tool visual speller paradigm. This derivative dataset, part of the larger bigP3BCI collection, contains standardized EEG data acquired at 256 Hz from 32 channels using g.USBamp hardware. The dataset is designed for machine learning applications and BCI research, with target and non-target event classifications annotated using HED 8.4.0 standards.
- Participants
- 24
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.11 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000214
c-VEP dataset from Thielen et al. (2021)
EEGA code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements while maintaining classification performance, ultimately achieving zero-training BCI operation through neural encoding models and reconvolution techniques.
- Participants
- 30
- Citations
- 64
- HED
- v8.4.0
- Size
- 1.26 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026