350 research outputs found

    Morning Chapel

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    Mind Games: How Robots Can Help Regulate Brain-Computer Interfaces

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    Funeral

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    Temporal regularity effects on pre-attentive and attentive processing of deviance

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    Temporal regularity allows predicting the temporal locus of future information thereby potentially facilitating cognitive processing. We applied event-related brain potentials (ERPs) to investigate how temporal regularity impacts pre-attentive and attentive processing of deviance in the auditory modality. Participants listened to sequences of sinusoidal tones differing exclusively in pitch. The inter-stimulus interval (ISI) in these sequences was manipulated to convey either isochronous or random temporal structure. In the pre-attentive session, deviance processing was unaffected by the regularity manipulation as evidenced in three event-related-potentials (ERPs): mismatch negativity (MMN), P3a, and reorienting negativity (RON). In the attentive session, the P3b was smaller for deviant tones embedded in irregular temporal structure, while the N2b component remained unaffected. These findings confirm that temporal regularity can reinforce cognitive mechanisms associated with the attentive processing of deviance. Furthermore, they provide evidence for the dynamic allocation of attention in time and dissociable pre-attentive and attention-dependent temporal processing mechanisms

    Be Opened!

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    In lieu of an abstract, below is the essay\u27s first paragraph. After you have messed up, or made a mistake, or made a poor choice, have you sometimes heard a voice whispering to you, “You just didn’t listen”

    The Recipient

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    PAR12: PROSPECTIVE USE OF WEB BASED TECHNOLOGY TO EVALUATE HEALTH OUTCOMES IN A LARGE COHORT OF SEVERE OR DIFFICULT TO TREAT ASTHMATICS

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    Nonliteral Language Processing Across the Lifespan

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    Studies investigating the effects of aging on nonliteral language processing have mainly focused on one sensory modality, for example written vignettes. In the current study, we used a video-based task to examine the effect of healthy aging on social communication perception using a novel database called RISC (Relation Inference in Social Communication). By means of an online recruitment platform, we asked young, middle-aged, and older adults between the ages of 18 and 76 (N = 100) to evaluate videos of actors using different forms of literal and nonliteral language, such as sarcasm or teasing. The participants\u27 task was to infer the speakers\u27 belief and the speakers\u27 intention. Older participants demonstrated lower accuracy in discriminating nonliteral from literal interactions compared to younger and middle-aged groups. When evaluating speaker intentions, older adults judged sarcasm as friendlier compared to literal negative utterances. We also found that the older the participant, the more difficulty they have identifying teasing as insincere. Our results expand on age-related similarities and differences in evaluating speaker intentions and demonstrate the practicality of the RISC database for studying nonliteral language across the lifespan
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