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99 results for "exogenous attention" · page 5 of 10 · ranked by relevance
…Additionally, selective attention and intelligence quotient (IQ) were also evaluated. Then, individuals…
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.
…Copy-spelling and free-spelling with attention to target symbols. Participants counted…
This dataset comprises event-related potential (ERP) recordings from a visual oddball task collected as part of the PURSUE project across three primarily undergraduate institutions. Participants performed a P300 oddball paradigm while EEG was recorded in 2017-2018. This dataset is one of the standardized ERP CORE initiative datasets, an open resource for standardized human event-related potential research.
A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
…the participant had to pay attention to both images -integration- or to…
…Copy spell seven predefined words of five characters each by focusing attention…
This dataset comprises electroencephalographic (EEG) recordings collected during the presentation of stylized facial stimuli to investigate emotion detection and event-related potentials (ERPs). The study demonstrates that artificially enhanced faces with exaggerated visual features elicit enhanced N170 components compared to standard facial images, suggesting optimized stimulus design can improve neural correlates of emotion recognition. These findings have implications for affective brain-computer interface (BCI) development and emotion detection accuracy from EEG signals. Participant information has been anonymized.