100 results for "ocular activity" · page 3 of 10 · ranked by relevance
…was applied to remove the ocular artefacts using the MNE software. #### Usage…
This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.
…Enhanced Brain Activity: Simultaneous tDUS and blinking light increased cortical activity compared…
This dataset comprises whole-head functional near-infrared spectroscopy (fNIRS) recordings from 38 subjects performing spatial-attention tasks in a cocktail-party paradigm with simultaneous eye-tracking. The study includes both overt attention tasks with eye movements and covert auditory attention tasks with central fixation, along with baseline and resting-state conditions. The fNIRS system captured 1134 measurement channels (56 sources, 144 detectors) at approximately 8.99 Hz sampling rate, providing comprehensive hemodynamic measurements during naturalistic audiovisual stimulus processing.
…subtrials with deflection >70 µV over ocular channels compared to baseline were…
This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.
…We recorded brain activity with functional MRI and magneto-encephalography (MEG) while…
This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.