AN ANALYTIC FORM FOR THE INTERRESPONSE TIME ANALYSIS OF SHULL, GAYNOR, AND GRIMES WITH APPLICATIONS AND EXTENSIONS

Shull, Gaynor and Grimes advanced a model for interresponse time distribution using probabilistic cycling between a higher-rate and a lower-rate response process. Both response processes are assumed to be random in time with a constant rate. The cycling between the two processes is assumed to have a constant transition probability that is independent of bout length. This report develops an analytic form of the model which has a natural parametrization for a higher-rate within-bout responding and a lower-rate visit-initiation responding. The analytic form provides a convenient basis for both a nonlinear least-squares data reduction technique to estimate the model's parameters and Monte Carlo simulations of the model. In addition, the analytic formulation is extended to both a refractory period for the rats' behavior and, separately, the strongly-banded behavior seen with pigeons.     

Bayesian Hierarchical Classes Analysis

Hierarchical classes models are models for N-way N-mode data that represent the association among the N modes and simultaneously yield, for each mode, a hierarchical classification of its elements. In this paper we present a stochastic extension of the hierarchical classes model for two-way two-mode binary data. In line with the original model, the new probabilistic extension still represents both the association among the two modes and the hierarchical classifications. A fully Bayesian method for fitting the new model is presented and evaluated in a simulation study. Furthermore, we propose tools for model selection and model checking based on Bayes factors and posterior predictive checks. We illustrate the advantages of the new approach with applications in the domain of the psychology of choice and psychiatric diagnosis. Iwin Leenen is now at the Instituto Mexicano de Investigación de Familia y Población (IMIFAP), Mexico. The research reported in this paper was partially supported by the Spanish Ministerio de Educación y Ciencia (programa Ramón y Cajal) and by the Research Council of K.U.Leuven (PDM/99/037, GOA/2000/02, and GOA/2005/04). The authors are grateful to Johannes Berkhof for fruitful discussions.     

人工神经网络模型在心理学研究中的运用

人工神经网络是对真实神经元网络的粗略模拟,具有容错性、抗干扰性、高效性等特征,具有学习、记忆等强大的认知功能,因此适宜于心理学许多领域的模拟研究。借助神经网络模型不仅可以模拟和验证以往的实验室研究;还能深入探讨感知、联想、学习和记忆等认知过程的具体发生机理,把握其内在机制;它对探讨内隐记忆、内隐学习等无意识认知过程有极大的启发作用。     

Re-evaluating evidence for linguistic relativity: reply to Boroditsky (2001)

Six unsuccessful attempts at replicating a key finding in the linguistic relativity literature [Boroditsky, L. (2001). Does language shape thought?: Mandarin and English speakers' conceptions of time. Cognitive Psychology, 43, 1-22] are reported. In addition to these empirical issues in replicating the original finding, theoretical issues present in the original report are discussed. In sum, we conclude that Boroditsky (2001) provides no support for the Whorfian hypothesis.     

创伤性分离个体注意加工的警戒-回避模式研究

采用点探测研究范式,对高分离个体和低分离个体在两种呈现时间500ms和1500ms条件下,随机呈现创伤性图片和中性图片,进行点探测反应,考察创伤性分离个体的注意加工特点.结果表明,高分离个体在500ms呈现时间条件下对创伤性图片的反应时间显著快于低分离个体对创伤图片刺激的反应时间,而在1500ms呈现时间条件下则显著慢于低分离个体.表明创伤性高分离个体的注意加工符合警戒-回避的时程性模式:开始时对创伤性刺激是一种保护性的警戒反应;在随后刺激的呈现时间增加时,回避对创伤相关信息的进一步编码和精细加工,出现有意遗忘,体现在提取和回忆上的减弱,我们称之为回避加工.     

MINDS, INTRINSIC PROPERTIES, AND MADHYAMAKA BUDDHISM

Certain philosophers and scientists have noticed that there are data that do not seem to fit with the traditional view known as the Mind/Brain Identity theory (MBI). This has inspired a new theory about the mind known as the Hypothesis of Extended Cognition (HEC). Now there is a growing controversy over whether these data actually require extending the mind out beyond the brain. Such arguments, despite their empirical diversity, have an underlying form. They all are disputes over where to draw the line between intrinsic and relational causal powers. The second-century Buddhist philosopher Nagarjuna deals with similar issues when he argues for a middle way between the two positions that were known in his time by the terms eternalism and nihilism. Eternalism, like MBI, asserts that the mind is a permanent enduring substance (although the two theories disagree as to how long mind endures). Nihilism argued that the mind had no intrinsic existence, and today some argue that HEC could lead us to a similar conclusion. Nagarjuna's argument for a middle way between these two extremes is similar to an argument that can be made for HEC. We can accept that neither the brain nor any other single physical item is identical to the mind without falling down the slippery slope that leads to "The mind does not really exist, and therefore we are one with everything." Nagarjuna was correct to say that the mind has conventional reality—that the mind exists even though there is no sharp border between the mind and the world.     

Gender differences in the pricing of professional services: Implications for income and customer relationships

This study extends our understanding of the effects of gender on both pricing behavior and owner income by examining both relationships in an experimental simulation involving owners of veterinary practices. Consistent with prior research, women owners are found to employ “compassionate pricing” more than men, even when the same services are offered. The process by which gender influences price, however is found to depend in part on one’s relationship orientation. Specifically, women are found to have a higher relationship orientation than men and relationship orientation is found to directly bias women’s transactional pricing towards more compassionate pricing. The relationship between role orientation, pricing, and income, however, is rather complex. While lower prices have a negative relationship with owner income, relationship orientation is found to have a positive direct influence on income. As a result, the influence of relationship orientation on income is found to be both negative, due to lower prices, and positive, due possibly to the resulting customer loyalty.     

Simulation à la Goldman: pretend and collapse

Theories of mind draw on processes that represent mental states and their computational connections; simulation, in addition, draws on processes that replicate (Heal 1986) a sequence of mental states. Moreover, mental simulation can be triggered by input from imagination instead of real perceptions. To avoid confusion between mental states concerning reality and those created in simulation, imagined contents must be quarantined. Goldman bypasses this problem by giving pretend states a special role to play in simulation (Goldman 2006). We argue that this path leads to the resurgence of the threat of collapse (Davies 1994), diluting the principled distinction between simulation and theory use. Exploration of a related method of real-mental states operating in a pretend mode leads to a factually untenable model. Our main goal here is to raise this problem as a challenge for Goldman’s reconfigured simulation theory. Only at the end we will briefly sketch a possible alternative way of quarantine that preserves the replicative element of simulation and avoids collapse. Figure 1 provides a guide to our argument. Fig. 1 Structure of argument

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Does prior exposure to interpersonal violence increase risk of PTSD following subsequent exposure?

Research has generally found a “dose relationship” between potentially traumatic events (PTEs) and the likelihood of developing PTSD, with greater number of events associated with greater likelihood. Most of these studies have been cross-sectional, however. A recent prospective study (Breslau, Peterson, & Schultz, 2008) found that PTSD response to prior potentially traumatic event (PTE) exposure, rather than prior exposure itself, acts as a risk factor for PTSD in response to subsequent PTE; however, this analysis combined many different types of events, and the unique contribution of specific events (e.g., assault) that may be associated with differential risk of PTSD was indeterminable. The present study examined the effects of cumulative PTE exposure prospectively using a two-wave design in the National Survey of Adolescents (N = 1703). History of assault and witnessing serious violence were the focal PTEs examined. Wave I assault without PTSD was found to predict PTSD at Wave II following exposure to new assault or witnessed violence; however, among those without prior PTSD, Wave I witnessed violence did not increase risk of subsequent PTSD following exposure.     

Mixed effects modeling of Morris water maze data: Advantages and cautionary notes

Morris water maze data are most commonly analyzed using repeated measures analysis of variance in which daily test sessions are analyzed as an unordered categorical variable. This approach, however, may lack power, relies heavily on post hoc tests of daily performance that can complicate interpretation, and does not target the nonlinear trends evidenced in learning data. The present project used Monte Carlo simulation to compare the relative strengths of the traditional approach with both linear and nonlinear mixed effects modeling that identifies the learning function for each animal and condition. Both trend-based mixed effects modeling approaches showed much greater sensitivity to identifying real effects, and the nonlinear approach provided uniformly better fits of learning trends. The common practice of removing a rat from the maze after 90 s, however, proved more problematic for the nonlinear approach and produced an underestimate of y-axis intercepts.