100 results for "attentional blink" · page 4 of 10 · ranked by relevance
…Gaze (X, Y) - Pupil Size - Blinks - Saccades - EOG - EEG - ECG # Experiment Setup…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…Contains saccades (timestamps), saccade-rates, fixations (timestamps), fixation-rates, blinks (timestamps), blink…
This dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
…previous one to avoid the attentional blink phenomenon. ## References Riccio, A., Simione…
This dataset comprises high-density EEG recordings from 43 infants aged 5-10 months, collected as part of a broader study on the impact of bias and discrimination on maternal and infant health outcomes. Infants viewed relaxing videos while EEG was recorded to examine microstates and attention-related neural dynamics during early development. The data were collected at Duke University with appropriate ethical oversight and informed caregiver consent.
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An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
…Noisy channels and artifacts (e.g., from eye blinks, muscle movements, or…