Robust representations for face recognition: the power of averages

We are able to recognise familiar faces easily across large variations in image quality, though our ability to match unfamiliar faces is strikingly poor. Here we ask how the representation of a face changes as we become familiar with it. We use a simple image-averaging technique to derive abstract representations of known faces. Using Principal Components Analysis, we show that computational systems based on these averages consistently outperform systems based on collections of instances. Furthermore, the quality of the average improves as more images are used to derive it. These simulations are carried out with famous faces, over which we had no control of superficial image characteristics. We then present data from three experiments demonstrating that image averaging can also improve recognition by human observers. Finally, we describe how PCA on image averages appears to preserve identity-specific face information, while eliminating non-diagnostic pictorial information. We therefore suggest that this is a good candidate for a robust face representation.     

Speeded detection and increased distraction in fear of spiders: evidence from eye movements

Anxiety patients exhibit attentional biases toward threat, which have often been demonstrated as increased distractibility by threatening stimuli. In contrast, speeded detection of threat has rarely been shown. Therefore, the authors studied both phenomena in 3 versions of a visual search task while eye movements were recorded continuously. Spider-fearful individuals and nonanxious control participants participated in a target search task, an odd-one-out search task, and a category search task. Evidence for disorder-specific increased distraction by threat was found in all tasks, whereas speeded threat detection did not occur in the target search task. The implications of these findings for cognitive theories of anxiety are discussed, particularly in relation to the concept of disengagement from threat.     

The dental anxiety scale and effects of dental fear on salivary cortisol

Only a few studies have investigated use of the Dental Anxiety Scale in dental fear-induced neuroendocrine changes. The present study examined 19 female patients, each at two timepoints across an educational and a treatment session within periodontitis therapy. Subjective measures included a visual analogue scale, the STAI State scale, and the Dental Anxiety Scale. Salivary cortisol was measured in parallel across all four timepoints. Although patients were significantly more aroused and anxious prior to the treatment session, salivary cortisol remained unchanged. However, patients with high Dental Anxiety were significantly more aroused and anxious and showed significantly higher salivary cortisol during the educational session than those with low scores on Dental Anxiety. In conclusion, the Dental Anxiety Scale differentiated mean neuroendocrine change between patients scoring low and high for Dental Anxiety and its use as an accurate tool to identify patients with high dental anxiety should be further studied predictively.     

Global versus local image expansion in estimating time-to-contact from complex optic flow

Previous work (Harris and Giachritsis 2000, Vision Research 40 601-611) has shown that, when global and local image expansion are placed in conflict, estimates of time-to-contact (TTC) are based almost exclusively upon global expansion. Here we extend this finding by demonstrating that global image expansion continues to predominate even under conditions that seem more favourable to a local analysis. We added a global rotation to the stimulus so that the global pattern of expansion was distorted while leaving the local expansion unaffected. Even under relatively high rotation rates (30 degrees s(-1)), local expansion continued to have little systematic effect upon estimates of TTC.     

Past experience influences object representation in working memory

The nature of object representation in working memory is vital to establishing the capacity of working memory, which in turn shapes the limits of visual cognition and awareness. Although current theories discuss whether representations in working memory are feature-based or object-based, no theory has considered the role of past experience. However, work with humans and non-human primates suggests that once participants learn which features are important for category membership, these diagnostic features become more salient than non-diagnostic features in long-term memory and object recognition. Critically, the brain areas involved in this diagnosticity effect are also recruited during working memory tasks. We report two experiments testing whether a diagnosticity effect exists in working memory; and whether it is present when visual information is encoded into working memory, or if it is the result of maintenance within working memory. Results showed a diagnosticity effect which was present at encoding. Maintenance did not influence the nature of object representation in working memory. These findings show that the meaning we glean from our past experience has a profound influence on the nature of object representation in working memory.     

Deontic Reasoning With Emotional Content: Evolutionary Psychology or Decision Theory?

Three experiments investigated the contrasting predictions of the evolutionary and decision-theoretic approaches to deontic reasoning. Two experiments embedded a hazard management (HM) rule in a social contract scenario that should lead to competition between innate modules. A 3rd experiment used a pure HM task. Threatening material was also introduced into the antecedent, p, of a deontic rule, if p then must q. According to the evolutionary approach, more HM responses (Cosmides & Tooby, 2000) are predicted when p is threatening, whereas decision theory predicts fewer. All 3 experiments were consistent with decision theory. Other theories are discussed, and it is concluded that they cannot account for the behavior observed in these experiments.     

SNRIs: their pharmacology, clinical efficacy, and tolerability in comparison with other classes of antidepressants

The class of serotonin and norepinephrine reuptake inhibitors (SNRIs) now comprises three medications: venlafaxine, milnacipran, and duloxetine. These drugs block the reuptake of both serotonin (5-HT) and norepinephrine with differing selectivity. Whereas milnacipran blocks 5-HT and norepinephrine reuptake with equal affinity, duloxetine has a 10-fold selectivity for 5-HT and venlafaxine a 30-fold selectivity for 5-HT. All three SNRIs are efficacious in treating a variety of anxiety disorders. There is no evidence for major differences between SNRIs and SSRIs in their efficacy in treating anxiety disorders. In contrast to SSRIs, which are generally ineffective in treating chronic pain, all three SNRIs seem to be helpful in relieving chronic pain associated with and independent of depression. Tolerability of an SNRI at therapeutic doses varies within the class. Although no direct comparative data are available, venlafaxine seems to be the least well-tolerated, combining serotonergic adverse effects (nausea, sexual dysfunction, withdrawal problems) with a dose-dependent cardiovascular phenomenon, principally hypertension. Duloxetine and milnacipran appear better tolerated and essentially devoid of cardiovascular toxicity.     

Expression and interpretation of emotions in multilingual psychotherapy: A literature review

This review aimed at presenting the findings of 19 original studies that were published in the period from 2000 to 2022 in order to outline the current state of the art in the field of emotion communication (i.e., expressing and interpreting emotions) in multilingual psychotherapy. This analysis involves in particular the studies that investigate multilingual phenomena (e.g., code-switching and language-mixing) that occur during psychotherapeutic sessions when client and therapist can speak more than one language, as well as the articles that research emotion communication in this multilingual setting. With this in mind, the articles selected for this review are divided into two main categories: linguistic phenomena in multilingual psychotherapy and emotion communication in multilingual psychotherapy. Results of the studies in the current analysis reveal that code-switching remains one of the main linguistic phenomena that arises in the area of multilingual psychotherapy. Switching languages in therapy tends to be considered as beneficial for both client and therapist. Besides, findings suggest a connection between speaking L1/LX and one's identity (e.g., feeling different depending on the language). Additionally, studies that investigate emotion communication in multilingual psychotherapy show that an individual's first language (L1) is predominantly viewed as more emotionally charged than their language(s) learned later in life (LX). However, some studies also demonstrate that the relationship between L1 and LX is more fluid and context-dependent than it has traditionally been regarded. Propositions are given for future research in the field of emotion communication in multilingual psychotherapy.     

A model-based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients

Principal component regression (PCR) is a popular technique in data analysis and machine learning. However, the technique has two limitations. First, the principal components (PCs) with the largest variances may not be relevant to the outcome variables. Second, the lack of standard error estimates for the unstandardized regression coefficients makes it hard to interpret the results. To address these two limitations, we propose a model-based approach that includes two mean and covariance structure models defined for multivariate PCR. By estimating the defined models, we can obtain inferential information that will allow us to test the explanatory power of individual PCs and compute the standard error estimates for the unstandardized regression coefficients. A real example is used to illustrate our approach, and simulation studies under normality and nonnormality conditions are presented to validate the standard error estimates for the unstandardized regression coefficients. Finally, future research topics are discussed.     

The ‘God beyond God’ in Fiction for Young People

In this article, the author focusses upon two major works of children's fiction which illustrate a post‐Christian concept of spirituality permeating common life. He shows how the narrative, imagery and ideas constitute a challenge to orthodox thought, not only about the way life is, but also about what children should know and think. The central thesis is that literature is the most effective medium for quickening those imaginative powers fundamental to dynamic engagement with ultimate questions, a thesis exemplified in the examination of these works.