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National Institute on Drug Abuse's behavioral research agenda.

Basic behavioral research continues to play an integral role in the National Institute on Drug Abuse's (NIDA's) search for solutions to the complex social and public health problems posed by drug abuse and addiction. Along with NIDA's basic molecular and neuroscience research programs, behavioral research has played an important role in increasing clinician's understanding of the mechanisms and processes that underlie addiction. Much has been learned about the ways in which animals and humans respond to their environment and the role these basic behavioral processes play in drug abuse and other drug-abuse-related phenomena, such as withdrawal, craving, and relapse, but there is still much more to be known. The author discusses how NIDA will continue to build and promote its behavioral research agenda and ensure that behavioral research findings are applied in real-life settings when applicable.

Animals↗

Corroboration.

Explore the source record for details and available documents.

Behaviorism↗

Adapting the cognitive interview to enhance long-term (35 years) recall of physical activities.

The cognitive interview (CI) was modified for use in an epidemiological study in which respondents were asked to recall their daily physical activities from the distant past (35 years ago). In comparison to a traditional epidemiological interview, the CI elicited many more responses and also more precise responses. Several practical costs, however, were incurred by the CI: additional time to train interviewers and to conduct interviews and difficulties in coding the responses. The costs and benefits of conducting the CI are addressed, along with conceptual and methodological challenges. The article ends with an existential question: Is the CI a singular technique if it can be modified so radically for different settings?

Aged↗

Chronic and temporary distinct expectancies as comparison standards: automatic contrast in dispositional judgments.

In 4 studies, the authors examined whether making outcome expectancies distinct resulted in their use as comparison standards and, consequently, in contrastive dispositional inferences for a target's behaviors. The expectancies examined were based on either chronic future-event expectancies (Study 1) or temporary, manipulated expectancy standards (Studies 2-4). Analyses revealed that when contextual expectancies were distinct or separable from target information, participants' dispositional judgments were contrasted from them under cognitive load and overcorrected (assimilated to them) under no load. These effects were mediated by participants' behavior categorizations. Evidence suggestive of a proceduralized form of correction for task difficulty and an effortful awareness-based correction for the effects of expectancies also were found. Results are examined in light of recent models of the dispositional inference process.

Analysis of Variance↗

The semantic--procedural interface model of the self: the role of self-knowledge for context-dependent versus context-independent modes of thinking.

How do independent and interdependent self-construals affect cognition? The authors proposed the semantic-procedural interface model, which distinguishes 2 such mechanisms. In addition to semantic differences, different procedural modes of thinking are associated with independent and interdependent self-construals. Independent self-definitions coincide with the tendency to process stimuli unaffected by the context in which they appear. Interdependent self-construals facilitate context-bounded thinking (i.e., processing stimuli by paying attention to their relation to the given context). With semantic-free dependent variables, 4 experiments showed independence-primed participants to exhibit higher degrees of context independence than did interdependence-primed participants. The results are discussed with reference to their potential explanations for cross-cultural differences.

Adult↗

From physical time to the first and second moments of psychological time.

After examination of the status of time in experimental psychology and a review of related major texts, 2 opposite approaches are presented in which time is either unified or fragmented. Unified time perception views, usually guided by Weber's law, are embodied in various models. After a brief review of old models and a description of the major contemporary models of time perception, views on fragmented time perception are presented as challenges for any unified time view. Fragmentation of psychological time emerges from (a) disruptions of the Weber function, which are caused by the types of interval presentation, by extensive practice, and by counting explicitly or not; and (b) modulations of time sensitivity and perceived duration by attention and interval structures. Weber's law is a useful guide for studying psychological time, but it is also reasonable to assume that more than one so-called central timekeeper could contribute to perceiving time.

Attention↗

Necessity and natural categories.

Our knowledge of natural categories includes beliefs not only about what is true of them but also about what would be true if the categories had properties other than (or in addition to) their actual ones. Evidence about these beliefs comes from three lines of research: experiments on category-based induction, on hypothetical transformations of category members, and on definitions of kind terms. The 1st part of this article examines results and theories arising from each of these research streams. The 2nd part considers possible unified theories for this domain, including theories based on ideals and norms. It also contrasts 2 broad frameworks for modal category information: one focusing on beliefs about intrinsic or essential properties, the other focusing on interacting causal relations.

Adult↗

Is self special? A critical review of evidence from experimental psychology and cognitive neuroscience.

Varied research findings have been taken to support the claim that humans' representation of the self is "special," that is, that it emerges from systems that are physically and functionally distinct from those used for more general purpose cognitive processing. The authors evaluate this claim by reviewing the relevant literatures and addressing the criteria for considering a system special, the various operationalizations of self, and how the studies' findings relate to the conclusions drawn. The authors conclude that many of the claims for the special status of self-related processing are premature given the evidence and that the various self-related research programs do not seem to be illuminating a unitary, common system, despite individuals' subjective experience of a unified self.

Brain↗

Cognitive emissions of 1/f noise.

The residual fluctuations that naturally arise in experimental inquiry are analyzed in terms of their time histories. Although these fluctuations are generally relegated to a statistical purgatory known as unexplained variance, this article shows that they may harbor a long-term memory process known as 1/f noise. This type of noise has been encountered in a number of biological and physical systems and is theorized to be a signature of dynamic complexity. Its presence in psychological data appears to be associated with the most elementary aspect of cognitive process, the formation of representations.

Cognition↗

Conflict monitoring and cognitive control.

A neglected question regarding cognitive control is how control processes might detect situations calling for their involvement. The authors propose here that the demand for control may be evaluated in part by monitoring for conflicts in information processing. This hypothesis is supported by data concerning the anterior cingulate cortex, a brain area involved in cognitive control, which also appears to respond to the occurrence of conflict. The present article reports two computational modeling studies, serving to articulate the conflict monitoring hypothesis and examine its implications. The first study tests the sufficiency of the hypothesis to account for brain activation data, applying a measure of conflict to existing models of tasks shown to engage the anterior cingulate. The second study implements a feedback loop connecting conflict monitoring to cognitive control, using this to simulate a number of important behavioral phenomena.

Cognition↗

Toward a method of selecting among computational models of cognition.

The question of how one should decide among competing explanations of data is at the heart of the scientific enterprise. Computational models of cognition are increasingly being advanced as explanations of behavior. The success of this line of inquiry depends on the development of robust methods to guide the evaluation and selection of these models. This article introduces a method of selecting among mathematical models of cognition known as minimum description length, which provides an intuitive and theoretically well-grounded understanding of why one model should be chosen. A central but elusive concept in model selection, complexity, can also be derived with the method. The adequacy of the method is demonstrated in 3 areas of cognitive modeling: psychophysics, information integration, and categorization.

Cognition↗

Serial mechanisms in lexical access: the rank hypothesis.

There is general agreement that the effect of frequency on lexical access time is roughly logarithmic, although little attention has been given to the reason for this. The authors argue that models of lexical access that incorporate a frequency-ordered serial comparison or verification procedure provide an account of this effect and predict that the underlying function directly relates access time to the rank order of words in a frequency-ordered set. For both group data and individual data, it is shown that rank provides a better fit to the data than does a function based on log frequency. Extensions to a search model are proposed that account for error rates and latencies and the effect of age of acquisition, which is interpreted as an effect of cumulative frequency.

Analysis of Variance↗

Population of linear experts: knowledge partitioning and function learning.

Knowledge partitioning is a theoretical construct holding that knowledge is not always integrated and homogeneous but may be separated into independent parcels containing mutually contradictory information. Knowledge partitioning has been observed in research on expertise, categorization, and function learning. This article presents a theory of function learning (the population of linear experts model--POLE) that assumes people partition their knowledge whenever they are presented with a complex task. The authors show that POLE is a general model of function learning that accommodates both benchmark results and recent data on knowledge partitioning. POLE also makes the counterintuitive prediction that a person's distribution of responses to repeated test stimuli should be multimodal. The authors report 3 experiments that support this prediction.

Analysis of Variance↗

Perceiving, remembering, and communicating structure in events.

How do people perceive routine events, such as making a bed, as these events unfold in time? Research on knowledge structures suggests that people conceive of events as goal-directed partonomic hierarchies. Here, participants segmented videos of events into coarse and fine units on separate viewings; some described the activity of each unit as well. Both segmentation and descriptions support the hierarchical bias hypothesis in event perception: Observers spontaneously encoded the events in terms of partonomic hierarchies. Hierarchical organization was strengthened by simultaneous description and, to a weaker extent, by familiarity. Describing from memory rather than perception yielded fewer units but did not alter the qualitative nature of the descriptions. Although the descriptions were telegraphic and without communicative intent, their hierarchical structure was evident to naive readers. The data suggest that cognitive schemata mediate between perceptual and functional information about events and indicate that these knowledge structures may be organized around object/action units.

Analysis of Variance↗