A theory of causal learning in children: causal maps and Bayes nets

The authors outline a cognitive and computational account of causal learning in children. They propose that children use specialized cognitive systems that allow them to recover an accurate "causal map" of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or Bayes nets. Children's causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children construct new causal maps and that their learning is consistent with the Bayes net formalism.     

Automatic spatial coding of perceived gaze direction is revealed by the Simon effect

In a typical Simon task, the (irrelevant) spatial position of the stimulus interferes with the processing of the salient characteristic (e.g., color). We used the Simon effect to investigate the automatic processing of gaze cues. We show that a simple drawing of schematic eyes automatically generates a spatially defined code of gaze direction. Although completely irrelevant to the task, direction of gaze influenced reaction times in a spatially selective two-choice discrimination based on eye color. Moreover, in one experiment employing an orthogonal manipulation of stimulus position and gaze direction, we found that coding of gaze direction is independent of stimulus spatial coding. Our finding of a “gazedirection Simon effect” is congruent with the hypothesis that gaze direction is coded by a specialized mechanism.     

The SNARC effect: an instance of the Simon effect?

Our aim was to investigate the relations between the Spatial-Numerical Association of Response Codes (SNARC) effect and the Simon effect. In Experiment 1 participants were required to make a parity judgment to numbers from 1 to 9 (without 5), by pressing a left or a right key. The numbers were presented to either the left or right side of fixation. Results showed the Simon effect (left-side stimuli were responded to faster with the left hand than with the right hand whereas right-side stimuli were responded to faster with the right hand), and the SNARC effect (smaller numbers were responded to faster with the left hand than with the right hand, whereas larger numbers were responded to faster with the right hand). No interaction was found between the Simon and SNARC effects, suggesting that they combine additively. In Experiment 2 the temporal distance between formation of the task-relevant non-spatial stimulus code and the task-irrelevant stimulus spatial code was increased. As in Experiment 1, results showed the presence of the Simon and SNARC effects but no interaction between them. Moreover, we found a regular Simon effect for faster RTs, and a reversed Simon effect for longer RTs. In contrast, the SNARC effect did not vary as a function of RT. Taken together, the results of the two experiments show that the SNARC effect does not simply constitute a variant of the Simon effect. This is considered to be evidence that number representation and space representation rest on different neural (likely parietal) circuits.     

People with Williams syndrome process faces holistically

This study compared the performance of 47 adolescents and adults with Williams syndrome to 39 age-matched controls on a face recognition task. Using the whole-part paradigm developed by Tanaka and his colleagues, we found that although performance overall was lower in the participants with Williams syndrome, both groups showed similar patterns of performance across the different conditions. Both groups performed significantly better in the whole-face than in the isolated-part test condition for upright faces, but not for inverted faces. The whole-face advantage only in the upright condition provides strong evidence that people with Williams syndrome encode and recognize faces holistically in the same way as normal controls, suggesting the use of similar underlying neurocognitive mechanisms. These findings contradict earlier reports in the literature that people with Williams syndrome process faces abnormally.     

Introduction to the special section on Resources for Enhancing Alzheimer's Caregiver Health (REACH)

This article provides background information and an overview on Resources for Enhancing Alzheimer's Caregiver Health (REACH) a multisite intervention trial for caregivers of persons with Alzheimer's disease designed to reduce caregiver burden and depression. REACH is the largest randomized controlled clinical trial to date, involving 1,222 caregiver and care recipient dyads recruited from 6 different sites in the United States. The authors describe the design of the study, summarize the interventions implemented at each site, and provide an overview of the 4 articles in this special section.     

The Resources for Enhancing Alzheimer's Caregiver Health (REACH): project design and baseline characteristics

The Resources for Enhancing Alzheimer's Cargiver Health (REACH) project was designed to test promising interventions for enhancing family caregiving for persons with dementia. The purpose of this article is to describe the research design, interventions, and outcome measures used in REACH and to characterize the sample recruited for the study. Nine interventions and 2 control conditions were implemented at 6 sites; 1,222 dyads were randomly assigned to an intervention or a control condition. The caregiver sample was 18.6% male with an average age of 62.3 years (56% Caucasian, 24% Black, and 19% Hispanic). Caregivers reported high levels of depressive symptoms and moderate burden. Care recipients were older, with a mean age of 79, and were moderately to severely impaired with mean Mini-Mental State Exam scores of 13/30.     

Exposure to novelty enhances retrieval of very remote memory in rats

Rats were trained in a one-trial step-down inhibitory avoidance task at the age of 3 months and tested for retention 1 day later, or 3, 6, 9, 12, 15, and 19 months later, i.e., when the animals were 3, 6, 9, 12, 15, 18, or 22 months of age. Retrieval performance declined with time and was undetectable in the last two age groups. Exposure to an unrelated novel environment (a square box lined with black plastic) 1 h before retention testing enhanced retrieval at all ages, regardless of the decline in the level of test session performance. The effect cannot be explained by an anxiogenic effect of the novelty box, or by an influence of novelty on locomotion or exploration, or by a nonspecific influence of exposure to novelty on step-down latency in the inhibitory avoidance apparatus.     

Facing Up to Hopelessness: A Dialogal Phenomenological Study

Hopelessness is a fundamental human experience, and yet is often considered evidence either of sin or of illness. This dialogal phenomenological study, based on in-depth interviews, takes a fresh look at despair as experienced by people across a variety of ages and contexts, and at the consequences and outcomes of these feelings. At the heart of despair is a sense of isolation, impotence, and an immutable future, and yet it may give rise to new purpose or a new understanding and acceptance of life with its possibilities and limitations. The therapeutic implications of this understanding of despair are discussed with a focus on how presence can be healing.     

When scientific models represent

Scientific models represent aspects of the empirical world. I explore to what extent this representational relationship, given the specific properties of models, can be analysed in terms of propositions to which truth or falsity can be attributed. For example, models frequently entail false propositions despite the fact that they are intended to say something "truthful" about phenomena. I argue that the representational relationship is constituted by model users "agreeing" on the function of a model, on the fit with data and on the aspects of a phenomenon that are modelled. Model users weigh the propositions entailed by a model and from this decide which of these propositions are crucial to the acceptance and continued use of the model. Thus, models represent phenomena when certain propositions they entail are true, but this alone does not exhaust the representational relationship. Therefore, the constraints that produce the choice of the relevant propositions in a model must also be examined and their analysis contributes to understanding the relationship between models and phenomena.