1,756 research outputs found

    “Keep it Simple, Make it Fast (KISMIF). Crossing Borders of Underground Music Scenes”, 13-17 July 2015

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    In the days following David Bowie’s passing, it was nearly impossible to miss hearing his 1977 “Heroes” as it circulated through both social and broadcast media. A quintessentially anthemic song, and even more so in light of Bowie’s passing, it speaks to both the adversity and victory that come with being authentic to oneself. As neo-liberalism sinks its teeth ever more fiercely into all sectors of cultural life, including the Academy, it can be challenging to stay true to one’s own scholarly..

    Unseen Affective Faces Influence Person Perception Judgments in Schizophrenia.

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    To demonstrate the influence of unconscious affective processing on consciously processed information among people with and without schizophrenia, we used a continuous flash suppression (CFS) paradigm to examine whether early and rapid processing of affective information influences first impressions of structurally neutral faces. People with and without schizophrenia rated visible neutral faces as more or less trustworthy, warm, and competent when paired with unseen smiling or scowling faces compared to when paired with unseen neutral faces. Yet, people with schizophrenia also exhibited a deficit in explicit affect perception. These findings indicate that early processing of affective information is intact in schizophrenia but the integration of this information with semantic contexts is problematic. Furthermore, people with schizophrenia who were more influenced by smiling faces presented outside awareness reported experiencing more anticipatory pleasure, suggesting that the ability to rapidly process affective information is important for anticipation of future pleasurable events

    Situating emotional experience

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    Psychological construction approaches to emotion suggest that emotional experience is situated and dynamic. Fear, for example, is typically studied in a physical danger context (e.g., threatening snake), but in the real world, it often occurs in social contexts, especially those involving social evaluation (e.g., public speaking). Understanding situated emotional experience is critical because adaptive responding is guided by situational context (e.g., inferring the intention of another in a social evaluation situation vs. monitoring the environment in a physical danger situation). In an fMRI study, we assessed situated emotional experience using a newly developed paradigm in which participants vividly imagine different scenarios from a first-person perspective, in this case scenarios involving either social evaluation or physical danger. We hypothesized that distributed neural patterns would underlie immersion in social evaluation and physical danger situations, with shared activity patterns across both situations in multiple sensory modalities and in circuitry involved in integrating salient sensory information, and with unique activity patterns for each situation type in coordinated large-scale networks that reflect situated responding. More specifically, we predicted that networks underlying the social inference and mentalizing involved in responding to a social threat (in regions that make up the “default mode” network) would be reliably more active during social evaluation situations. In contrast, networks underlying the visuospatial attention and action planning involved in responding to a physical threat would be reliably more active during physical danger situations. The results supported these hypotheses. In line with emerging psychological construction approaches, the findings suggest that coordinated brain networks offer a systematic way to interpret the distributed patterns that underlie the diverse situational contexts characterizing emotional life

    Primary interoceptive cortex activity during simulated experiences of the body

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    Studies of the classic exteroceptive sensory systems (e.g., vision, touch) consistently demonstrate that vividly imagining a sensory experience of the world – simulating it – is associated with increased activity in the corresponding primary sensory cortex. We hypothesized, analogously, that simulating internal bodily sensations would be associated with increased neural activity in primary interoceptive cortex. An immersive, language-based mental imagery paradigm was used to test this hypothesis (e.g., imagine your heart pounding during a roller coaster ride, your face drenched in sweat during a workout). During two neuroimaging experiments, participants listened to vividly described situations and imagined “being there” in each scenario. In Study 1, we observed significantly heightened activity in primary interoceptive cortex (of dorsal posterior insula) during imagined experiences involving vivid internal sensations. This effect was specific to interoceptive simulation: it was not observed during a separate affect focus condition in Study 1, nor during an independent Study 2 that did not involve detailed simulation of internal sensations (instead involving simulation of other sensory experiences). These findings underscore the large-scale predictive architecture of the brain and reveal that words can be powerful drivers of bodily experiences

    Super-Consistent Estimation of Points of Impact in Nonparametric Regression with Functional Predictors

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    Predicting scalar outcomes using functional predictors is a classic problem in functional data analysis. In many applications, however, only specific locations or time-points of the functional predictors have an impact on the outcome. Such ``points of impact'' are typically unknown and have to be estimated in addition to estimating the usual model components. We show that our points of impact estimator enjoys a super-consistent convergence rate and does not require knowledge or pre-estimates of the unknown model components. This remarkable result facilitates the subsequent estimation of the remaining model components as shown in the theoretical part, where we consider the case of nonparametric models and the practically relevant case of generalized linear models. The finite sample properties of our estimators are assessed by means of a simulation study. Our methodology is motivated by data from a psychological experiment in which the participants were asked to continuously rate their emotional state while watching an affective video eliciting a varying intensity of emotional reactions

    Time Machine Fashion: Neo-Victorian Style in Twenty-First Century Subcultures

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    For the last several decades, there has been a pronounced influence of “retro” fashion and style on various youth subcultures. This occurrence has been in the form of larger, cultural trends in both the underground and mainstream, such as the Teddy Boy and Mod revivals of the late seventies. However, until recently, it has been far less common for youths to identify stylistically with a more distant past. Alongside a more longstanding fascination among goths with Stoker-era vampire chic, contemporary steampunks and Lolitas also adopt many signs and symbols of Victoriana. While steampunks romanticise mid-nineteenth century technology, both real and imagined, Lolitas, an originally Japanese subculture, are fascinated with a nineteenth century unrelated to their own nation’s history. This article examines the lineage of so-called neo-Victorian subcultures, how they compare to one another, and what symbolic value they hold for young people today

    “Keep it Simple, Make it Fast (KISMIF). Crossing Borders of Underground Music Scenes”, 13-17 July 2015

    Get PDF
    In the days following David Bowie’s passing, it was nearly impossible to miss hearing his 1977 “Heroes” as it circulated through both social and broadcast media. A quintessentially anthemic song, and even more so in light of Bowie’s passing, it speaks to both the adversity and victory that come with being authentic to oneself. As neo-liberalism sinks its teeth ever more fiercely into all sectors of cultural life, including the Academy, it can be challenging to stay true to one’s own scholarly..

    Micro-Valences: Perceiving Affective Valence in Everyday Objects

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    Perceiving the affective valence of objects influences how we think about and react to the world around us. Conversely, the speed and quality with which we visually recognize objects in a visual scene can vary dramatically depending on that scene’s affective content. Although typical visual scenes contain mostly “everyday” objects, the affect perception in visual objects has been studied using somewhat atypical stimuli with strong affective valences (e.g., guns or roses). Here we explore whether affective valence must be strong or overt to exert an effect on our visual perception. We conclude that everyday objects carry subtle affective valences – “micro-valences” – which are intrinsic to their perceptual representation

    Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies

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    Working memory (WM) was one of the first cognitive processes studied with functional magnetic resonance imaging. With now over 20 years of studies on WM, each study with tiny sample sizes, there is a need for meta-analysis to identify the brain regions that are consistently activated by WM tasks, and to understand the interstudy variation in those activations. However, current methods in the field cannot fully account for the spatial nature of neuroimaging meta-analysis data or the heterogeneity observed among WM studies. In this work, we propose a fully Bayesian random-effects metaregression model based on log-Gaussian Cox processes, which can be used for meta-analysis of neuroimaging studies. An efficient Markov chain Monte Carlo scheme for posterior simulations is presented which makes use of some recent advances in parallel computing using graphics processing units. Application of the proposed model to a real data set provides valuable insights regarding the function of the WM
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