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Teen dating violence
(2021)
Background and Aims: Ostarek et al. (2019) claimed a conclusive
demonstration that language comprehension relies profoundly on
visual simulations. They presented participants with visual noise during sentence-picture verification (SPV) and measured lateralized button response speed. The authors selectively eliminated the classical congruency effect (faster yes decisions when pictures match the objects implied by the sentences) with ‘‘high level’’ noise made from images of other objects. However, that visual noise included tool pictures, known to activate lateralized motor affordances. Moreover, some of their sentences described motor actions. This raises the question whether motor simulation may have contaminated their results.
Methods: Replicating Ostarek et al. (2019), 33 right-handed
participants performed SPV but either without visual noise or while viewing (a) only left-handled or (b) only right-handled or (c) alternatingly left- and right-handled tools. Accuracy and reaction times of manual yes responses were analyzed. Additionally, hand-relatedness of sentences was rated.
Results: Replicating Ostarek et al. (2019), the classical SPV congruency effect appeared without noise and vanished when alternatingly handled tools were presented. Crucially, it reappeared when noise objects were consistently either left- or righthandled. Higher hand-relatedness of sentence content reduced SPV performance and accuracy was lower with right-handled noise.
Conclusion: First, we demonstrated an interaction between motor-
related language, visual affordances and motor responses in SPV.
This result supports the embodied view of language processing.
Second, we identified a motor process not previously known in SPV. This extends our understanding of mental simulation and calls for methodological controls in future studies.
Hulleman & Olivers' (H&O's) model introduces variation of the functional visual field (FVF) for explaining visual search behavior. Our research shows how the FVF can be studied using gaze-contingent displays and how FVF variation can be implemented in models of gaze control. Contrary to H&O, we believe that fixation duration is an important factor when modeling visual search behavior.
We compare the robustness of humans and current convolutional deep neural networks (DNNs) on object recognition under twelve different types of image degradations. First, using three well known DNNs (ResNet-152, VGG-19, GoogLeNet) we find the human visual system to be more robust to nearly all of the tested image manipulations, and we observe progressively diverging classification error-patterns between humans and DNNs when the signal gets weaker. Secondly, we show that DNNs trained directly on distorted images consistently surpass human performance on the exact distortion types they were trained on, yet they display extremely poor generalisation abilities when tested on other distortion types. For example, training on salt-and-pepper noise does not imply robustness on uniform white noise and vice versa. Thus, changes in the noise distribution between training and testing constitutes a crucial challenge to deep learning vision systems that can be systematically addressed in a lifelong machine learning approach. Our new dataset consisting of 83K carefully measured human psychophysical trials provide a useful reference for lifelong robustness against image degradations set by the human visual system.
Background: Pavlovian processes are thought to play an important role in the development, maintenance and relapse of alcohol dependence, possibly by influencing and usurping on- going thought and behavior. The influence of Pavlovian stimuli on on-going behavior is paradigmatically measured by Pavlovian-to-instrumental-transfer (PIT) tasks. These involve multiple stages and are complex. Whether increased PIT is involved in human alcohol
dependence is uncertain. We therefore aimed to establish and validate a modified PIT paradigm that would be robust, consistent, and tolerated by healthy controls as well as by patients suffering from alcohol dependence, and to explore whether alcohol dependence is associated with enhanced Pavlovian-Instrumental transfer.
Methods: 32 recently detoxified alcohol-dependent patients and 32 age and gender matched healthy controls performed a PIT task with instrumental go/no-go approach behaviours. The task involved both Pavlovian stimuli associated with monetary rewards and losses, and images of drinks.
Results: Both patients and healthy controls showed a robust and temporally stable PIT effect. Strengths of PIT effects to drug-related and monetary conditioned stimuli were highly correlated. Patients more frequently showed a PIT effect and the effect was stronger in response to aversively conditioned CSs (conditioned suppression), but there was no group difference in response to appetitive CSs.
Conclusion: The implementation of PIT has favorably robust properties in chronic alcohol- dependent patients and in healthy controls. It shows internal consistency between monetary and drug-related cues. The findings support an association of alcohol dependence with an increased propensity towards PIT.