ds003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEG
- Participants
- 9
Discover datasets
84 results for "electrophysiology" · page 8 of 9 · ranked by relevance
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- ds004381
Intraoperative EEG dataset during medianus-tibialis stimulation with 8 different rates
EEG- Participants
- 18
- ds003805
Multisensory Gamma Entrainment
EEG- Participants
- 1
- ds006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG- Participants
- 53
- ds004995
The Time-Course of Food Representation in the Human Brain
EEG- Participants
- 20
- ds004502
Anticipatory differences between Attention and Expectation
EEG- Participants
- 48
- on004855
FT
EEGImported from OpenNeuro ds004855
- Size
- 78.9 MB
- Updated
- May 23, 2026
- ds003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
EEG MRI- Participants
- 20
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
- Size
- 2.06 GB
- Updated
- Jun 3, 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.
- Size
- 1.26 GB
- Updated
- Jun 3, 2026