Transfer in artificial grammar learning: the role of repetition information

In this article, the authors report 2 experiments that investigated the sources of information used in transfer and nontransfer tasks in artificial grammar learning. Multiple regression analyses indicated that 2 types of information about repeating elements were crucial for performance in both tasks: information about the repetition of adjacent elements and information about repetition of elements in the whole item. Similarity of test items to specific training items and chunk information influenced participants' judgments only in nontransfer tasks.     

Accuracy of self-reported arrests among a forensic SPMI population

Self-reports are prone to response error even in the most structured and standardized environment, but the highly stigmatizing nature of illegal behavior and the possible cognitive problems inherent to the SPMI population increase the likelihood of such error. Using administrative data as the gold standard, the validity of self-reported arrests was examined among 85 mentally ill substance-abusing individuals with justice involvement. The overall accuracy of self-reported arrests during a three-month recall period was 84.7%. Validity was higher among individuals who at the time of the follow-up interview were either in a jail diversion program or incarcerated. Individuals with a mood disorder appeared to be somewhat less accurate in their self-reports than subjects with schizophrenia, despite the implication of cognitive distortion accompanying this latter diagnostic category. Further research on issues such as the accuracy of self-reports over longer recall periods, or the accuracy of self-reported frequency of arrest, is necessary, given the reliance on self-report methodology in outcome studies.     

Are developmental disorders like cases of adult brain damage? Implications from connectionist modelling

It is often assumed that similar domain-specific behavioural impairments found in cases of adult brain damage and developmental disorders correspond to similar underlying causes, and can serve as convergent evidence for the modular structure of the normal adult cognitive system. We argue that this correspondence is contingent on an unsupported assumption that atypical development can produce selective deficits while the rest of the system develops normally (Residual Normality), and that this assumption tends to bias data collection in the field. Based on a review of connectionist models of acquired and developmental disorders in the domains of reading and past tense, as well as on new simulations, we explore the computational viability of Residual Normality and the potential role of development in producing behavioural deficits. Simulations demonstrate that damage to a developmental model can produce very different effects depending on whether it occurs prior to or following the training process. Because developmental disorders typically involve damage prior to learning, we conclude that the developmental process is a key component of the explanation of endstate impairments in such disorders. Further simulations demonstrate that in simple connectionist learning systems, the assumption of Residual Normality is undermined by processes of compensation or alteration elsewhere in the system. We outline the precise computational conditions required for Residual Normality to hold in development, and suggest that in many cases it is an unlikely hypothesis. We conclude that in developmental disorders, inferences from behavioural deficits to underlying structure crucially depend on developmental conditions, and that the process of ontogenetic development cannot be ignored in constructing models of developmental disorders.     

Genetic counseling and the disabled: feminism examines the stance of those who stand at the gate

This essay examines the possible systematic bias against the disabled in the structure and practice of genetic counseling. Finding that the profession's "nondirective" imperative remains problematic, the authors recommend that methodology developed by feminist standpoint epistemology be used to incorporate the perspective of disabled individuals in genetic counselors' education and practice, thereby reforming society's view of the disabled and preventing possible negative effects of genetic counseling on the self-concept and material circumstance of disabled individuals.     

Learning artificial grammars: No evidence for the acquisition of rules

Two experiments investigated whether there is evidence for acquisition of rules in implicit artificial grammar learning (AGL). Two different methods were used in meeting this goal, multiple regression analysis and analysis of receiver-operating characteristics (ROCs). By means of multiple regression analysis, several types of knowledge were identified that were used in judgments of grammaticality, for example, about single letters and about larger stimulus fragments. There was no evidence for the contribution of rule knowledge. The ROCs were in accord with a similarity-based account of AGL and thus did not support the notion that rule knowledge is acquired in AGL either. Simulations with a connectionist model corroborated the conclusion that the results were in accord with a similarity-based, associative account.     

Auditory Distraction by Meaningless Irrelevant Speech: A Developmental Study

The irrelevant sound effect (ISE) typically refers to a disruptive effect of a to‐be‐ignored sound in serial recall tasks, where lists of visually presented items (digits and letters) must be recalled in serial order. Although extensively studied in adults, studies on developmental aspects of the ISE are scarce. The present study aims to increase our understanding of developmental changes of auditory distraction in children beyond serial recall. Two tasks (i.e., word categorization and evaluation of simple mathematical equations) were designed to test retrieval from semantic memory. Proportion correct and reaction times (adjusted for speed–accuracy tradeoff) were measured in 8–9 and 12–13‐year‐olds. Results revealed a developmental change in the susceptibility to auditory distraction. Whereas older children were not affected by background sounds, younger children showed impairment in both proportion correct and adjusted reaction times. Overall, results suggest that attention distraction and immature attention control mechanisms contribute to ISEs in young children. Copyright © 2014 John Wiley & Sons, Ltd.     

Using Raw VAR Regression Coefficients to Build Networks can be Misleading

Many questions in the behavioral sciences focus on the causal interplay of a number of variables across time. To reveal the dynamic relations between the variables, their (auto- or cross-) regressive effects across time may be inspected by fitting a lag-one vector autoregressive, or VAR(1), model and visualizing the resulting regression coefficients as the edges of a weighted directed network. Usually, the raw VAR(1) regression coefficients are drawn, but we argue that this may yield misleading network figures and characteristics because of two problems. First, the raw regression coefficients are sensitive to scale and variance differences among the variables and therefore may lack comparability, which is needed if one wants to calculate, for example, centrality measures. Second, they only represent the unique direct effects of the variables, which may give a distorted picture when variables correlate strongly. To deal with these problems, we propose to use other VAR(1)-based measures as edges. Specifically, to solve the comparability issue, the standardized VAR(1) regression coefficients can be displayed. Furthermore, relative importance metrics can be computed to include direct as well as shared and indirect effects into the network.     

The over‐pruning hypothesis of autism

This article outlines the over‐pruning hypothesis of autism. The hypothesis originates in a neurocomputational model of the regressive sub‐type (Thomas, Knowland & Karmiloff‐Smith, 2011a, 2011b). Here we develop a more general version of the over‐pruning hypothesis to address heterogeneity in the timing of manifestation of ASD, including new computer simulations which reconcile the different observed developmental trajectories (early onset, late onset, regression) via a single underlying atypical mechanism; and which show how unaffected siblings of individuals with ASD may differ from controls either by inheriting a milder version of the pathological mechanism or by co‐inheriting the risk factors without the pathological mechanism. The proposed atypical mechanism involves overly aggressive synaptic pruning in infancy and early childhood, an exaggeration of a normal phase of brain development. We show how the hypothesis generates novel predictions that differ from existing theories of ASD including that (1) the first few months of development in ASD will be indistinguishable from typical, and (2) the earliest atypicalities in ASD will be sensory and motor rather than social. Both predictions gain cautious support from emerging longitudinal studies of infants at‐risk of ASD. We review evidence consistent with the over‐pruning hypothesis, its relation to other current theories (including C. Frith's under‐pruning proposal; C. Frith, 2003, 2004), as well as inconsistent data and current limitations. The hypothesis situates causal accounts of ASD within a framework of protective and risk factors (Newschaffer et al., 2012); clarifies different versions of the broader autism phenotype (i.e. the implication of observed similarities between individuals with autism and their family members); and integrates data from multiple disciplines, including behavioural studies, neuroscience studies, genetics, and intervention studies.