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Extracting semantic representations from word co-occurrence statistics: A computational study
The idea that at least some aspects of word meaning can be induced from patterns of word co-occurrence is becoming increasingly popular. However, there is less agreement about the precise computations involved, and the appropriate tests to distinguish between the various possibilities. It is important that the effect of the relevant design choices and parameter values are understood if psychological models using these methods are to be reliably evaluated and compared. In this article, we present a systematic exploration of the principal computational possibilities for formulating and validating representations of word meanings from word co-occurrence statistics. We find that, once we have identified the best procedures, a very simple approach is surprisingly successful and robust over a range of psychologically relevant evaluation measures.
Journal Article
Stress physiology and developmental psychopathology: Past, present, and future
Research on the hypothalamic–pituitary–adrenocortical (HPA) axis has emerged as a vital area within the field of developmental psychopathology in the past 25 years. Extensive animal research has provided knowledge of the substrates and physiological mechanisms that guide development of stress reactivity and regulation using methods that are not feasible in humans. Recent advances in understanding the anatomy and physiology of the HPA axis in humans and its interactions with other stress-mediating systems, including accurate assessment of salivary cortisol, more sophisticated neuroimaging methods, and a variety of genetic analyses, have led to greater knowledge of how psychological and biological processes impact functioning. A growing body of research on HPA axis regulation and reactivity in relation to psychopathology has drawn increased focus on the prenatal period, infancy, and the pubertal transition as potentially sensitive periods of stress system development in children. Theories such as the allostatic load model have guided research by integrating multiple physiological systems and mechanisms by which stress can affect mental and physical health. However, almost none of the prominent theoretical models in stress physiology are truly developmental, and future work must incorporate how systems interact with the environment across the life span in normal and atypical development. Our theoretical advancement will depend on our ability to integrate biological and psychological models. Researchers are increasingly realizing the importance of communication across disciplinary boundaries in order to understand how experiences influence neurobehavioral development. It is important that knowledge gained over the past 25 years has been translated to prevention and treatment interventions, and we look forward to the dissemination of interventions that promote recovery from adversity.
Journal Article
Nature and Nurture in Mental Disorders
Over the last two decades, spurred particularly by the decoding of the genome, neuroscience has advanced to become the primary basis of clinical psychiatry, even as environmental risk factors for mental disorders have been deemphasized. In this thoroughly revised, second edition of Nature and Nurture in Mental Disorders, the author argues that an overreliance on biology at the expense of environment has been detrimental to the field -- that, in fact, the \"nature versus nurture\" dichotomy is unnecessary. Instead, he posits a biopsychosocial model that acknowledges the role an individual's predisposing genetic factors, interacting with environmental stressors, play in the etiology of many mental disorders. The first several chapters of the book provide an overview of the theories that affect the study of genes, the environment, and their interaction, examining what the empirical evidence has revealed about each of these issues. Subsequent chapters apply the integrated model to a variety of disorders, reviewing the evidence on how genes and environment interact to shape disorders including: • Depressive disorders• PTSD• Neurodevelopmental disorders• Eating disorders• Personality disorders By rejecting both biological and psychosocial reductionism in favor of an interactive model, Nature and Nurture in Mental Disorders offers practicing clinicians a path toward a more flexible, effective treatment model. And where controversy or debate still exist, an extensive reference list provided at the end of the book, updated for this edition to reflect the most current literature, encourages further study and exploration.
eBook
Time-varying decision boundaries: insights from optimality analysis
The most widely used account of decision-making proposes that people choose between alternatives by accumulating evidence in favor of each alternative until this evidence reaches a decision boundary. It is frequently assumed that this decision boundary stays constant during a decision, depending on the evidence collected but not on time. Recent experimental and theoretical work has challenged this assumption, showing that constant decision boundaries are, in some circumstances, sub-optimal. We introduce a theoretical model that facilitates identification of the optimal decision boundaries under a wide range of conditions. Time-varying optimal decision boundaries for our model are a result only of uncertainty over the difficulty of each trial and do not require decision deadlines or costs associated with collecting evidence, as assumed by previous authors. Furthermore, the shape of optimal decision boundaries depends on the difficulties of different decisions. When some trials are very difficult, optimal boundaries decrease with time, but for tasks that only include a mixture of easy and medium difficulty trials, the optimal boundaries increase or stay constant. We also show how this simple model can be extended to more complex decision-making tasks such as when people have unequal priors or when they can choose to opt out of decisions. The theoretical model presented here provides an important framework to understand how, why, and whether decision boundaries should change over time in experiments on decision-making.
Journal Article
Assessing \Economic Value\: Symbolic-Number Mappings Predict Risky and Riskless Valuations
Diminishing marginal utility (DMU) is a basic tenet of economic and psychological models of judgment and choice, but its determinants are little understood. In the research reported here, we tested whether insensitivities in valuations of dollar amounts (e.g., $40, $100) may be due to inexact mappings of symbolic numbers (i.e., \"40,\" \"100\") onto mental magnitudes. In three studies, we demonstrated that inexact mappings appear to guide valuation and mediate numeracy's relations with riskless valuations (Studies 1 and 1a) and risky choices (Study 2). The results highlight the fundamental notion that individuals' valuations of $100 depend critically on how individuals perceive and map the symbolic quantity \"100.\" This notion has implications for conceptualizations of value, risk aversion, intertemporal choice, and dual-process theories of decision making. Normative implications are also briefly discussed.
Journal Article