Prediction Error
…recording environment: - **EEG Stream Name:** BrainVision - **EEG Reference and Ground:** FCz and…
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- Jun 22, 2026
100 results for "BrainVision" · page 9 of 10 · ranked by relevance
…recording environment: - **EEG Stream Name:** BrainVision - **EEG Reference and Ground:** FCz and…
…It includes EEG recording from participant 01 to 15 in raw brainvision…
A multimodal neuroimaging dataset combining EEG and eye-tracking recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants imagining left and right hand movements in response to visual cues. Recorded at 1000 Hz using a 64-channel Neuroscan system, this dataset supports brain-computer interface research and motor imagery analysis.
…Raw EEG recordings in BrainVision format (`.vhdr`, `.vmrk`, `.eeg`) together with BIDS…
…po8 o1 oz o2 - **Hardware**: BrainVision - **Software**: EEGLAB - **Reference**: right mastoid - **Sensor…
This dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.
A 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.
…per session**: 12 - **File format**: BrainVision - **Number of contributing labs**: 1 ## Acquisition…
A multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.