…Pictures were selected and adapted to have similar framing and comparable perceptual…
EEG dataset investigating whether images of stylized (cartoon-like) faces with exaggerated visual features improve event-related potential (ERP) correlates of emotion relative to ordinary human faces. The stylized faces elicit an enhanced N170 component associated with facial recognition encoding. The findings suggest that consistent stimulus transformations could improve affect detection from EEG in affective brain-computer interface design.
EEG recordings from 25 participants performing a two-competing-speaker selective attention task, in which they attended to either the left or right audio book. The participant's own name was embedded 10 times per block in the to-be-ignored stream, allowing study of attention capture and neural tracking of attended and ignored speech. Blocks alternated between an omnidirectional condition (equal loudness) and a beamforming condition (attended stream louder).
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.
This dataset contains EEG recordings collected while participants viewed visual and audiovisual stimuli in virtual reality depicting the Edzna Archaeological Site. It is intended to support research on how immersive, multisensory cultural-heritage environments shape brain activity. The data are organized in BIDS format with HED annotations.
This EEG dataset investigates how personalized smartphone notification sounds bias auditory salience across successive stages of sensory and cognitive processing. Participants completed an auditory oddball experiment, allowing comparison of neural responses to personally relevant notification sounds against other auditory stimuli.
High-density EEG recorded from resting, eyes-closed participants who used voice-guided imagery to enter 15 distinct emotional states, including positive states such as joy and negative states such as sadness and anger. Participants pressed a button when they began to feel the target emotion and again when the feeling waned, with relaxation instructions between the imagery periods. The dataset supports research on EEG-based emotion recognition and brain state dynamics during emotion imagination.
EEG recordings from 36 participants performing an orientation discrimination task in a visual tilt illusion paradigm. A central target grating, titrated to appear vertical on average, was surrounded by an annular grating tilted by ±30 degrees. The dataset supports analysis of prestimulus EEG correlates, including alpha oscillation power and phase, of increased or decreased tilt illusion strength.
This dataset contains EEG recordings from deaf readers who read sentences containing semantic and syntactic violations, used to assess sensitivity to semantic and syntactic information during reading. Event-related potentials were recorded while participants viewed 180 sentences presented word by word, including subject-verb agreement, semantic, double, and word-order violations alongside correct control sentences.
An EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified (Pac-Man maze) paradigms for brain-computer interface applications. It comprises 1,800 trials of four Spanish directional commands (avanzar, retroceder, derecha, izquierda) recorded at 500 Hz from 24 electrodes. This BIDS derivative, distributed via MOABB and NEMAR, supports evaluation of how paradigm design affects imagined speech decoding.