Promoting social initiation in children with autism using video modeling

A large number of studies have shown that children and youths with autism can improve their social skills when provided with appropriate and well planned treatment strategies. Here, a video modeling procedure was implemented with seven developmentally delayed children, using a multiple‐treatment design. Each child watched a videotape showing a model and the experimenter engaged in a simple social interactive play in an adapted play setting. Afterwards each child's behavior was assessed in this setting, while the experimenter's behavior remained the same as that shown in the videotape. The video modeling training enhanced the social initiation skills of four children. It also facilitated appropriate play engagement, which generalized across settings, peers, and toys. These changes maintained after a 1‐ and 2‐month follow‐up period. The intervention was evaluated as a time‐efficient teaching tool as well as a means of enhancing appropriate play skills. Copyright © 2003 John Wiley & Sons, Ltd.     

Are Evolutionary Debunking Arguments Self-Debunking?

Philosophia - I argue that, at least on the assumption that if there are epistemic facts they are irreducible, the evolutionary debunking maneuver is prima facie self-debunking because it seems to...     

Pollard on Habits of Action

Bill Pollard has recently developed an account of habits of action, endeavoring to rehabilitate the traditional notion of habit in a way that can be used to address current philosophical concerns. I argue that Pollard’s account has important shortcomings. The account is intended to apply indiscriminately to both habitual and skilled acts, but this overlooks crucial distinctions. Moreover, Pollard’s account fails to do justice to the various ways in which the idea of habit figures in the explanation and assessment of action. These shortcomings are a consequence of certain assumptions Pollard shares with the accounts of mind and action he sets to criticize. As long as these assumptions are left intact, the potential of dispositional notions such as habit and skill to contribute to contemporary debates will not be realized.     

Neurobiological Markers of Illness Onset in Psychosis and Schizophrenia: The Search for a Moving Target

In this review, we describe neuropsychological and brain imaging findings in the early stages of psychosis and schizophrenia. We focus on recent clinical high-risk studies and consider whether the evidence supports these as ‘endophenotypes’ of a vulnerability to the illness or as ‘biomarkers’ of illness onset and transition. The findings suggest that there are a number of processes at psychosis onset that may represent biomarkers of incipient illness. These neurobiological indices particularly implicate the integrity of frontal and temporal cortices, which may or may not be related to the genetics of psychosis (i.e. potential ‘endophenotypes’). However, these brain regions are dynamically changing during normal maturation, meaning that any putative neurobiological markers identified at the earliest stages of illness may be relatively unstable. We suggest that, while such measures may be readily identified as potential neurobiological markers of established illness, they are inconsistent at (or around) the time of illness onset when assessed cross-sectionally. Instead, identification of more valid risk markers may require longitudinal assessment to ascertain normal or abnormal trajectories of neurodevelopment. Accordingly, we assert that the current conceptualisations of potential biomarkers and/or ‘endophenotypes’ for schizophrenia may need to be reconsidered in the context of normal and abnormal brain maturational processes at the time of onset of psychotic disorders.     

Intuitive control of mobile robots: an architecture for autonomous adaptive dynamic behaviour integration

In this paper, we present a novel approach to human–robot control. Taking inspiration from behaviour-based robotics and self-organisation principles, we present an interfacing mechanism, with the ability to adapt both towards the user and the robotic morphology. The aim is for a transparent mechanism connecting user and robot, allowing for a seamless integration of control signals and robot behaviours. Instead of the user adapting to the interface and control paradigm, the proposed architecture allows the user to shape the control motifs in their way of preference, moving away from the case where the user has to read and understand an operation manual, or it has to learn to operate a specific device. Starting from a tabula rasa basis, the architecture is able to identify control patterns (behaviours) for the given robotic morphology and successfully merge them with control signals from the user, regardless of the input device used. The structural components of the interface are presented and assessed both individually and as a whole. Inherent properties of the architecture are presented and explained. At the same time, emergent properties are presented and investigated. As a whole, this paradigm of control is found to highlight the potential for a change in the paradigm of robotic control, and a new level in the taxonomy of human in the loop systems.     

The primate working memory networks

Working memory has long been associated with the prefrontal cortex, since damage to this brain area can critically impair the ability to maintain and update mnemonic information. Anatomical and physiological evidence suggests, however, that the prefrontal cortex is part of a broader network of interconnected brain areas involved in working memory. These include the parietal and temporal association areas of the cerebral cortex, cingulate and limbic areas, and subcortical structures such as the mediodorsal thalamus and the basal ganglia. Neurophysiological studies in primates confirm the involvement of areas beyond the frontal lobe and illustrate that working memory involves parallel, distributed neuronal networks. In this article, we review the current understanding of the anatomical organization of networks mediating working memory and the neural correlates of memory manifested in each of their nodes. The neural mechanisms of memory maintenance and the integrative role of the prefrontal cortex are also discussed.     

Common mechanisms of executive attention underlie executive function and effortful control in children

Executive Function (EF) and Effortful Control (EC) have traditionally been viewed as distinct constructs related to cognition and temperament during development. More recently, EF and EC have been implicated in top‐down self‐regulation ‐ the goal‐directed control of cognition, emotion, and behavior. We propose that executive attention, a limited‐capacity attentional resource subserving goal‐directed cognition and behavior, is the common cognitive mechanism underlying the self‐regulatory capacities captured by EF and EC. We addressed three related questions: (a) Do behavioral ratings of EF and EC represent the same self‐regulation construct? (b) Is this self‐regulation construct explained by a common executive attention factor as measured by performance on cognitive tasks? and (c) Does the executive attention factor explain additional variance in attention deficit hyperactivity disorder (ADHD) problems to behavioral ratings of self‐regulation? Measures of performance on complex span, general intelligence, and response inhibition tasks were obtained from 136 preadolescent children (M = 11 years, 10 months, SD = 8 months), along with self‐ and parent‐reported EC, and parent‐reported EF, and ADHD problems. Results from structural equation modeling demonstrated that behavioral ratings of EF and EC measured the same self‐regulation construct. Cognitive tasks measured a common executive attention factor that significantly explained 30% of the variance in behavioral ratings of self‐regulation. Executive attention failed to significantly explain additional variance in ADHD problems beyond that explained by behavioral ratings of self‐regulation. These findings raise questions about the utility of task‐based cognitive measures in research and clinical assessment of self‐regulation and psychopathology in developmental samples.