Creating false memories of infancy with hypnotic and non‐hypnotic procedures

This study was designed to test the conditions under while false memory reports are likely to be elicited from hypnotic and non‐hypnotic participants. Low, medium and high hypnotizables were administered either a hypnotic or non‐hypnotic suggestion for regression to the day after birth. False memories of infancy were generated in 68 of 78 age‐regressed participants, nearly half of whom reported strong beliefs in the reality of their recovered ‘memories’. Non‐hypnotic participants were slightly but significantly more likely to report infancy experiences than were hypnotic participants. However, hypnotizability did not have a significant effect on the classification of these experiences as memories or as fantasies. Implications for the experimental and clinical contexts are discussed. Copyright © 1999 John Wiley & Sons, Ltd.     

Towards end-to-end likelihood-free inference with convolutional neural networks

Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fully convolutional neural networks. The method enables users of ABC to derive simultaneously the posterior mean and variance of multidimensional posterior distributions directly from raw simulated data. Once trained on simulated data, the convolutional neural network is able to map real data samples of variable size to the first two posterior moments of the relevant parameter's distributions. Thus, in contrast to other machine learning approaches to ABC, our approach allows us to generate reusable models that can be applied by different researchers employing the same model. We verify the utility of our method on two common statistical models (i.e., a multivariate normal distribution and a multiple regression scenario), for which the posterior parameter distributions can be derived analytically. We then apply our method to recover the parameters of the leaky competing accumulator (LCA) model and we reference our results to the current state-of-the-art technique, which is the probability density estimation (PDA). Results show that our method exhibits a lower approximation error compared with other machine learning approaches to ABC. It also performs similarly to PDA in recovering the parameters of the LCA model.     

Stereotype activation and control of race bias: cognitive control of inhibition and its impairment by alcohol

Two experiments tested the hypothesis that alcohol increases race-biased responding via impairment of self-regulatory cognitive control. Participants consumed either a placebo or alcohol and then made speeded responses to stereotypic trait words presented after White and Black face primes while behavioral and event-related brain potential (ERP) data were recorded. Alcohol did not affect stereotype activation in either experiment. Experiment 2 showed that alcohol significantly impaired the ability to inhibit race-biased responses but did not reliably influence control of counterstereotypic responses. This disinhibition appears driven by impairment of regulative cognitive control, as indexed by amplitude of the negative slow wave ERP component. These findings suggest that controlling racial bias can be a function of effective implementation of basic self-regulatory processes in addition to the motivational processes identified in other research.     

Introduction to the special section on aging, cognition, and neuroimaging

In response to the recent increase in the number of laboratories engaged in the use of functional and structural neuroimaging to study cognitive aging, this special section has been compiled to serve as an entry into this area for the readers of Psychology and Aging. These articles are representative of the field and cover many of the issues faced by researchers in this area. This introduction presents some background into the techniques that are used and provides an overview of the articles.     

The disposables: our treatment of violent adolescents

This paper discusses the clinical perceptions of levels of attachment disorder as theorized by John Bowlby. The findings are based on interview data of juvenile delinquent offenders who have committed criminal acts that are serious enough to warrant their being tried as adults. The data are based on clinical interviews, and the interviewer encourages empirical research of the clinical findings. It is suggested that attachment levels may be a viable means of determining appropriate types of rehabilitative interventions for juvenile offenders.     

Neuropsychological Issues in the Assessment of Refugees and Victims of Mass Violence

Brain injury, stressor severity, depression, premorbid vulnerabilities, and PTSD are frequently intertwined in trauma populations. This interaction is further complicated when the neuropsychologist evaluates refugees from other cultures. In addition, the observed psychiatric symptoms reported in refugees and victims of mass violence may in fact not be the primary features of PTSD and depression but psychiatric symptoms secondary to the effects of traumatic brain injury. This paper reviews the occurrence of starvation, torture, beatings, imprisonment, and other head injury experiences in refugee and POW populations to alert treators to the presence of chronic and persistent neuropsychiatric morbidity, with implications for psychosocial adjustment. The concept of fixed neural loss may also interact with environmental and emotional stresses, and a model of neuropsychological abnormalities triggered by traumatic events and influenced by subsequent stress will also be considered. Neuropsychologists working with refugees play an important role in assessing the possibility of traumatic brain injury with tools that are relatively culture-fair.     

How Do People Process Health Information? Applications in an Age of Individualized Communication

Advances in computer technology have made it possible to customize communication, including health-education materials, to the specific needs and interests of any individual. Studies show that individually tailored health-education materials are more effective than generic materials in promoting changes in a variety of health-related behaviors. Theory and research in information processing provide an explanation for why such materials are effective. This article discusses current research on how individuals process tailored health information, and discusses directions for future research in this area.