ZuCo 2.0: EEG and Eye-Tracking during Natural Reading and Annotation
…is a run; eye-tracking gaze/pupil samples are co-located _recording…
- Participants
- 18
- Channels
- 128 (egi-geodesic)
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Sep 16, 2026
…is a run; eye-tracking gaze/pupil samples are co-located _recording…
…is a run; eye-tracking gaze/pupil samples are co-located _recording…
…on008465) NeuralEcho MACS high-density communication-related EEG dataset ================================================================ Overview -------- This dataset…
…shown in pseudorandom order with gaze-contingent viewing (grey overlay revealed through…
…trials = 3024 BCI Application --------------- Applications: communication Environment: laboratory Tags ---- Pathology: Healthy Modality…
…Next, the Independent Component Analysis (ICA) method (RunICA algorithm) was performed, transforming…
…0.517 BCI Application --------------- Applications: communication Online feedback: False Tags ---- Pathology: Healthy…
A multimodal dataset of simultaneous 64-channel EEG, head-mounted eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adults. Participants took part in a naturalistic smartphone use condition and a standardized video viewing condition. Hardware TTL pulses synchronize the EEG and eye-tracking streams for temporal alignment across modalities.
…gaze-independent communication - **Feedback type**: visual - **Stimulus type**: motion VEP (mVEP) - **Stimulus…
This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.