Characterizing observers using external noise and observer models: assessing internal representations with external noise

External noise methods and observer models have been widely used to characterize the intrinsic perceptual limitations of human observers and changes of the perceptual limitations associated with cognitive, developmental, and disease processes by highlighting the variance of internal representations. The authors conducted a comprehensive review of the 5 most prominent observer models through the development of a common formalism. They derived new predictions of the models for a common set of behavioral tests that were compared with the data in the literature and a new experiment. The comparison between the model predictions and the empirical data resulted in very strong constraints on the observer models. The perceptual template model provided the best account of all the empirical data in the visual domain. The choice of the observer model has significant implications for the interpretation of data from other external noise paradigms, as well as studies using external noise to assay changes of perceptual limitations associated with observer states. The empirical and theoretical development suggests possible parallel developments in other sensory modalities and studies of high-level cognitive processes.     

Evaluating models of remember-know judgments: Complexity, mimicry, and discriminability

Remember-know judgments provide additional information in recognition memory tests, but the nature of this information and the attendant decision process are in dispute. Competing models have proposed that remember judgments reflect a sum of familiarity and recollective information (the one-dimensional model), are based on a difference between these strengths (STREAK), or are purely recollective (the dual-process model). A choice among these accounts is sometimes made by comparing the precision of their fits to data, but this strategy may be muddied by differences in model complexity: Some models that appear to provide good fits may simply be better able to mimic the data produced by other models. To evaluate this possibility, we simulated data with each of the models in each of three popular remember-know paradigms, then fit those data to each of the models. We found that the one-dimensional model is generally less complex than the others, but despite this handicap, it dominates the others as the best-fitting model. For both reasons, the one-dimensional model should be preferred. In addition, we found that some empirical paradigms are ill-suited for distinguishing among models. For example, data collected by soliciting remember/know/new judgments--that is, the trinary task--provide a particularly weak ground for distinguishing models. Additional tables and figures may be downloaded from the Psychonomic Society's Archive of Norms, Stimuli, and Data, at www.psychonomic.org/archive.     

CONTEMPORARY EVOLUTIONARY THEORY AS A NEW HEURISTIC MODEL FOR THE SOCIOSCIENTIFIC METHOD IN BIBLICAL STUDIES

Abstract. Notions of uniform and gradual evolution have been replaced in some circles by biological and paleontological models that postulate that periods of rapid change punctuate long periods of evolutionary stasis. This new theory, called punctuated equilibria (or PE for short), may have implications for paradigms in scholarly disciplines other than the sciences. Whereas old evolutionary models exerted great influence upon historians, sociologists, anthropologists, and students of religion for more than a century, the new model may provide heuristic paradigms for research that correlate more adequately with the current observations of scholars. We therefore provide suggestions for deployment of this new scientific paradigm in history and anthropology. In particular, this model can explain the rise of the Israelite state and the religious ethos in the Hebrew Bible, two major concerns of today's socioscientific study of biblical materials. Thus the possibility of an overarching paradigm for the social sciences is entertained.     

Some task demands induce collapsing bounds: Evidence from a behavioral analysis

Traditional models of choice-response time assume that sensory evidence accumulates for choice alternatives until a threshold amount of evidence has been obtained. Although some researchers have characterized the threshold as varying randomly from trial to trial, these investigations have all assumed that the threshold remains fixed across time within a trial. Despite decades of successful applications of these models to a variety of experimental manipulations, the time-invariance assumption has recently been called into question, and a time-variant alternative implementing collapsing decision thresholds has been proposed instead. Here, we investigated the fidelity of the collapsing threshold assumption by assessing relative model fit to data from a highly constrained experimental design that coupled a within-subject mixture of two classic response time paradigms—interrogation and free response—within a random dot motion (RDM) task. Overall, we identified strong evidence in favor of collapsing decision thresholds, suggesting that subjects may adopt a dynamic decision policy due to task characteristics, specifically to account for the mixture of response time paradigms and motion strengths across trials in the mixed response signal task. We conclude that time-variant mechanisms may serve as a viable explanation for the strategy used by human subjects in our task.     

Observing evidence accumulation during multi-alternative decisions

Most decision-making research has focused on choices between two alternatives. For choices between many alternatives, the primary result is Hick’s Law—that mean response time increases logarithmically with the number of alternatives. Various models for this result exist within specific paradigms, and there are some more general theoretical results, but none of those have been tested stringently against data. We present an experimental paradigm that supports detailed examination of multi-choice data, and analyze predictions from a Bayesian ideal observer model for this paradigm. Data from the experiment deviate from the predictions of the Bayesian model in interesting ways. A simple heuristic model based on evidence accumulation provides a good account for the data, and has attractive properties as a limit case of the Bayesian model.     

Extracting thresholds from noisy psychophysical data.

Psychophysical studies with infants or with patients often are unable to use pilot data, training, or large numbers of trials. To evaluate threshold estimates under these conditions, computer simulations of experiments with small numbers of trials were performed by using psychometric functions based on a model of two types of noise: stimulus-related noise (affecting slope) and extraneous noise (affecting upper asymptote). Threshold estimates were biased and imprecise when extraneous noise was high, as were the estimates of extraneous noise. Strategies were developed for rejecting data sets as too noisy for unbiased and precise threshold estimation; these strategies were most successful when extraneous noise was low for most of the data sets. An analysis of 1,026 data sets from visual function tests of infants and toddlers showed that extraneous noise is often considerable, that experimental paradigms can be developed that minimize extraneous noise, and that data analysis that does not consider the effects of extraneous noise may underestimate test-retest reliability and overestimate interocular differences.     

Noise exclusion in spatial attention

Precue validity affects the performance of perceptual tasks. These spatial attention effects have been variously attributed to facilitation of processing, capacity allocation, or noise reduction. We used a new attention-plus-external (stimulus)-noise paradigm and model to identify the mechanisms of attention in cue-validity paradigms. A new phenomenon is reported: a large effect of location cue validity in an orientation identification task that specifically occurs when the stimulus is embedded in external (environmental or stimulus) noise. This result identifies the mechanism of the effect as external-noise exclusion, distinguished from stimulus enhancement that manifests itself only in noiseless stimulus environments.     

Memory of the traumatic event as a risk factor for the development of PTSD: lessons from the study of traumatic brain injury

Traumatic memories, and the mechanisms by which they operate, continue to occupy a central role in the scientific investigation of risk factors for the development of posttraumatic stress disorder (PTSD). However, empirically based studies are constrained by practical and ethical considerations and are limited to naturalistic models. Consequently, the paradigms most appropriate for the exploration of the relationship between traumatic memories and PTSD have been identified in conditions involving traumatic events where memories may be compromised. Indeed, traumatic brain injury, a condition that is commonly associated with memory impairment, has often been utilized as a naturally occurring model for the study of traumatic memory and its contribution to the development of PTSD. This article presents a critical review of these research efforts and discusses their theoretical and clinical implications.     

错认总比错过好——面孔视错觉的发生机制及其应用

面孔视错觉现象表现为个体从其他事物中感知到并不存在的面孔。面孔视错觉要素已广泛应用于艺术、广告及商品中,起到吸引注意、促进消费的作用。同时,先前的研究通过采用各种范式,发现患者在面孔视错觉的产生上同常人的差异,以及视错觉与视幻觉之间的联系。根据视觉加工通路的不同,相关范式可分为视错觉监测范式,以及视错觉辨认范式。前者侧重于基于提取的类面孔特征所做出的快速预测,后者侧重于主观期望引导个体对物体特征的提取,两者最终均会影响到后续的认知判断。日后研究可从面孔视错觉的发生机制出发,结合自上而下和自下而上两种加工通路,为面孔视错觉产生机制提供理论依据,并拓宽该要素在临床诊断及商业广告领域上的应用。     

Do noise masks terminate target processing?

Much recent research in visual information processing has employed a methodology resting on the assumption that a noise mask following presentation of a target stimulus terminates processing of that target. In the absence of appropriate controls, such a methodology is viable only insofar as an erasure theory of masking is valid. However, the phenomena from which the erasure position has derived its strongest support have been subject to alternative theoretical explanations, the most general of which is that of temporal integration. The experiment reported here tested these alternatives. Twelve subjects served in a tachistoscopic study designed to determine whether the same noise field of dots could either erase a degraded target digit or facilitate target identification through temporal integration, under both forward and backward masking paradigms. This was found to be the case, and the results were interpreted as consistent with an integration theory of masking and as incompatible with an erasure conception. The results suggested that efforts to control target processing time through display of a visual noise pattern subsequent to target presentation are methodologically inadequate when devoid of some basic control operations.     

Extracting thresholds from noisy psychophysical data

Psychophysical studies with infants or with patients often are unable to use pilot data, training, or large numbers of trials. To evaluate threshold estimates under these conditions, computer simulations of experiments with small numbers of trials were performed by using psychometric functions based on a model of two types of noise:stimulus-related noise (affecting slope) andextraneous noise (affecting upper asymptote). Threshold estimates were biased and imprecise when extraneous noise was high, as were the estimates of extraneous noise. Strategies were developed for rejecting data sets as too noisy for unbiased and precise threshold estimation; these strategies were most successful when extraneous noise was low for most of the data sets. An analysis of 1,026 data sets from visual function tests of infants and toddlers showed that extraneous noise is often considerable, that experimental paradigms can be developed that minimize extraneous noise, and that data analysis that does not consider the effects of extraneous noise may underestimate test-retest reliability and overestimate interocular differences.     

A History of Psychology of Religion in the West: Implications for Theory and Method

The study of religion in Western psychology has an interesting history that provides many lessons for future attempts to understand the spiritual aspects of human experience. In the past, psychologists have typically operated from one of three paradigms in their study of religion: (1) hermeneutic–phenomenological, (2) positivistic naturalism, and (3) religious integration. Each of these paradigms has a number of important theoretical assumptions and a preferred set of methodologies that offer significant advantages and disadvantages. The paradigm of positivistic naturalism, with its emphasis on quantitative questionnaire methodology, has been the most influential but also the least helpful in generating new ideas for the psychological understanding of religion, particularly as it is practiced in non-Western contexts. A historical survey of the other competing paradigms offers many insights and practical suggestions about how research in the psychology of religion might proceed in the twenty-first century.     

A formal framework for modelling the developmental course of competence and performance in the distance,speed, and time domain

The developmental course in the distance–speed–time domain is still a matter of debate. Traditional stage models are contested by theories of continuous development and adaptive thinking. In the present work, we introduce a formal framework for modelling the developmental course in this domain, grounding on Competence-based Knowledge Space Theory. This framework, as a more general case, widely includes assumptions and facets of previous models and covers empirical findings collected based on different experimental paradigms. By a distinction of latent competences and observable performance, model validation is not bound to a certain experimental paradigm and no one-to-one correspondence between competences and tasks is required. Therefore, the framework has the potential to bridge the gap between stage models and models of continuous development. The approach also precisely defines misconceptions, for example overgeneralization, and empirically investigates their occurrence. In the present work, we established a prototypical model for the development of understanding the distance–speed–time system. We extended this model with definitions based on different perspectives of overgeneralization. The assumptions of the model and its extensions were examined on the basis of the results of two empirical investigations using six judgment task types. The results yielded a reasonably good fit of model and data. No evidence was found for the occurrence of overgeneralization in this domain. The theoretical model and empirical results are discussed with respect to their relationship to other developmental models and theories.     

Paradigms in psychosomatic research: a dialectic perspective

By tradition, psychosomatic research has relied on a linear causality model where various psychological and social factors have been correlated to organic disorders. It has become increasingly evident, however, that etiological models based on single causal factors are inadequate. Recently, a reorientation has been noted towards system-oriented multicausality models, which assume that social, psychological, and physiological factors interact in the pathogenesis of a disease. In this review, the limitations and potentials of the linear and system-oriented paradigms are discussed. It is suggested that these perspectives are complementary, and may be applied simultaneously in an integrated, dialectic approach.     

Newman's application of the offices of the Church in the search for a reformed Catholicism

From an anthropological and historical perspective, and focusing mainly on the Argentinean situation, this article analyses Catholic male monasticism in Hispanic America, with the particular objective of evaluating the crisis, religious change and monastic imagination identified in contemporary Benedictine communities. It is argued that imagination, as a process of symbol production, has been intrinsically related to the practice of a new monastic spirituality; it has in fact been the force behind the appearance of religious experiences ideologically anchored in early Christian traditions. Empirical data on the Benedictine Order in Argentina suggests that at least three models of consecrated life can be identified in twentieth century Hispanic America, namely, the ministerial model, the social model and the patristic model. Research leads to the conclusion that these paradigms emerged through processes of imagination applied to the reinvention of tradition – creatively but, also, conservatively – in a global context in which both the monastic institution and society face changing demands.     

Dyadic longitudinal models: A critical review

In this review, we discuss the most commonly used models to analyze dyadic longitudinal data. We start the review with a definition of dyadic longitudinal data that allows relationship researchers to identify when these models might be appropriate. Then, we go on to describe the three major models commonly used when one has dyadic longitudinal data: the dyadic growth curve model (DGCM), the actor–partner interdependence model (APIM), and the common fate growth model (CFGM). We discuss when each model might be used and strengths and weaknesses of each model. We end with additional thoughts that focus on extensions to new methods being discussed in the literature, along with some of the challenges of collecting and analyzing dyadic longitudinal data that might be helpful for future dyadic researchers.     

Paradigm change in aggression research: The time has come to retire the General Aggression Model

As Kuhn (1970) has noted, most scientific fields go through processes of paradigm change, painful periods in which old theories no longer fit available data and are placed by new theories. Such periods typically create strife and debate as ideological differences emerged between proponents of old and new theoretical approaches. In the current paper, we argue that such a period has been reached within the field of aggression research. Over the past half-century, social cognitive and social learning paradigms of aggression, exemplified in the General Aggression Model (GAM) have retained dominance, particularly in areas such as media violence. We contend that data to support the GAM and social cognitive approaches to aggression have never been conclusive, and newer evidence increasingly suggests that the GAM and social cognitive theories of aggression more generally are not adequate to explain aggressive phenomena. We discuss weaknesses and problematic, sometimes hidden assumptions of the GAM and how these reduce the utility of this paradigm. Current evidence suggests that the GAM and the social cognitive paradigm of aggression should be retired, and approaches which focus on diathesis-stress hold greater promise.     

Not just the norm: Exemplar-based models also predict face aftereffects

The face recognition literature has considered two competing accounts of how faces are represented within the visual system: Exemplar-based models assume that faces are represented via their similarity to exemplars of previously experienced faces, while norm-based models assume that faces are represented with respect to their deviation from an average face, or norm. Face identity aftereffects have been taken as compelling evidence in favor of a norm-based account over an exemplar-based account. After a relatively brief period of adaptation to an adaptor face, the perceived identity of a test face is shifted toward a face with attributes opposite to those of the adaptor, suggesting an explicit psychological representation of the norm. Surprisingly, despite near universal recognition that face identity aftereffects imply norm-based coding, there have been no published attempts to simulate the predictions of norm- and exemplar-based models in face adaptation paradigms. Here, we implemented and tested variations of norm and exemplar models. Contrary to common claims, our simulations revealed that both an exemplar-based model and a version of a two-pool norm-based model, but not a traditional norm-based model, predict face identity aftereffects following face adaptation.