Modeling cross-situational word-referent learning: prior questions

Both adults and young children possess powerful statistical computation capabilities--they can infer the referent of a word from highly ambiguous contexts involving many words and many referents by aggregating cross-situational statistical information across contexts. This ability has been explained by models of hypothesis testing and by models of associative learning. This article describes a series of simulation studies and analyses designed to understand the different learning mechanisms posited by the 2 classes of models and their relation to each other. Variants of a hypothesis-testing model and a simple or dumb associative mechanism were examined under different specifications of information selection, computation, and decision. Critically, these 3 components of the models interact in complex ways. The models illustrate a fundamental tradeoff between amount of data input and powerful computations: With the selection of more information, dumb associative models can mimic the powerful learning that is accomplished by hypothesis-testing models with fewer data. However, because of the interactions among the component parts of the models, the associative model can mimic various hypothesis-testing models, producing the same learning patterns but through different internal components. The simulations argue for the importance of a compositional approach to human statistical learning: the experimental decomposition of the processes that contribute to statistical learning in human learners and models with the internal components that can be evaluated independently and together.     

Competition and cooperation among similar representations: toward a unified account of facilitative and inhibitory effects of lexical neighbors

One of the core principles of how the mind works is the graded, parallel activation of multiple related or similar representations. Parallel activation of multiple representations has been particularly important in the development of theories and models of language processing, where coactivated representations (neighbors) have been shown to exhibit both facilitative and inhibitory effects on word recognition and production. Researchers generally ascribe these effects to interactive activation and competition, but there is no unified explanation for why the effects are facilitative in some cases and inhibitory in others. We present a series of simulations of a simple domain-general interactive activation and competition model that is broadly consistent with more specialized domain-specific models of lexical processing. The results showed that interactive activation and competition can indeed account for the complex pattern of reversals. Critically, the simulations revealed a core computational principle that determines whether neighbor effects are facilitative or inhibitory: strongly active neighbors exert a net inhibitory effect, and weakly active neighbors exert a net facilitative effect.     

ERP correlates of language-specific processing of auditory pitch feedback during self-vocalization

The present study investigated whether the neural correlates for auditory feedback control of vocal pitch can be shaped by tone language experience. Event-related potentials (P2/N1) were recorded from adult native speakers of Mandarin and Cantonese who heard their voice auditory feedback shifted in pitch by −50, −100, −200, or −500 cents when they sustained the vowel sound /u/. Cantonese speakers produced larger P2 amplitudes to −200 or −500 cents stimuli than Mandarin speakers, but this language effect failed to reach significance in the case of −50 or −100 cents. Moreover, Mandarin speakers produced shorter N1 latencies over the left hemisphere than the right hemisphere, whereas Cantonese speakers did not. These findings demonstrate that neural processing of auditory pitch feedback in vocal motor control is subject to language-dependent neural plasticity, suggesting that cortical mechanisms of auditory-vocal integration can be shaped by tone language experience.     

Self-compassion increases self-improvement motivation

Can treating oneself with compassion after making a mistake increase self-improvement motivation? In four experiments, the authors examined the hypothesis that self-compassion motivates people to improve personal weaknesses, moral transgressions, and test performance. Participants in a self-compassion condition, compared to a self-esteem control condition and either no intervention or a positive distraction control condition, expressed greater incremental beliefs about a personal weakness (Experiment 1); reported greater motivation to make amends and avoid repeating a recent moral transgression (Experiment 2); spent more time studying for a difficult test following an initial failure (Experiment 3); exhibited a preference for upward social comparison after reflecting on a personal weakness (Experiment 4); and reported greater motivation to change the weakness (Experiment 4). These findings suggest that, somewhat paradoxically, taking an accepting approach to personal failure may make people more motivated to improve themselves.     

Culture and social support provision: who gives what and why

The present research examined cultural differences in the type and frequency of support provided as well as the motivations underlying these behaviors. Study 1, an open-ended survey, asked participants about their social interactions in the past 24 hours and found that European Americans reported providing emotion-focused support more frequently than problem-focused support, whereas Japanese exhibited the opposite pattern. Study 2, a closed-ended questionnaire study, found that, in response to the close other's big stressor, European Americans provided more emotion-focused support whereas Japanese provided equivalent amounts of emotion-focused and problem-focused support. In addition, Study 2 examined motivational explanations for these differences. Social support provision was motivated by the goal of closeness and increasing recipient self-esteem among European Americans, but only associated with the motive for closeness among Japanese. These studies illustrate the importance of considering cultural context and its role in determining the meaning and function of various support behaviors.     

A smarter brain is associated with stronger neural interaction in healthy young females: A resting EEG coherence study

General intelligence, the g factor, is a major issue in psychology and neuroscience. However, the neural mechanism of the g factor is still not clear. It is suggested that the g factor should be non-modular (a property across the brain) and show good colinearity with various cognitive tests. This study examines the hypothesis that functional connectivity may be a good candidate for the g factor. We recorded resting state eyes-closed EEG signals in 184 healthy young females. Coherence values of 38 selected channel pairs across delta, theta, alpha, beta and gamma frequencies were correlated with six intelligence quotient (IQ) subtests, including symbol search, block design, object assembly, digit span, similarity and arithmetic. A three-stage analytic flow was constructed to delineate common (g factor) and unique neural components of intelligence. It is noticed that the coherence pattern demonstrates good correlation with five of the IQ subtests (except symbol search) and non-modularity in the brain. Our commonality analyses support connectivity strength in the brain as a good indicator of the g factor. For the digit span and arithmetic tests, the uniqueness analyses provide left-lateralized topography relevant to the operation of working memory. Performance on the arithmetic test is further correlated with strengths at left temporo-parietal and bilateral temporal connections. All the significant correlations are positive, indicating that the stronger the connectivity strengths, the higher the intelligence. Our analyses conclude that a smarter brain is associated with stronger interaction in the central nervous system. The implication and why the symbol search does not show parallel results are discussed.     

Frequency of borderline personality disorder among psychiatric outpatients in Shanghai

The objective of this study was to investigate the frequency, clinical characteristics, and comorbidity of borderline personality disorder (BPD) among psychiatric outpatients in two clinics at Shanghai Mental Health Center. A cross-sectional investigation was conducted. From 3,075 outpatients screened using the Personality Diagnostic Questionnaire-IV+, 2,284 patients positive for a personality disorder were assessed using the Structured Clinical Interview for DSM-IV Personality Disorders. The frequency of BPD among the psychiatric outpatients was 5.8%, with a frequency of 3.5% among males and 7.5% among females (p < .01). BPD was found to have extensive comorbidity with Axis I and II disorders. This study proves that BPD does occur in China. The detected frequency among outpatients is lower than that reported in North America.     

Early predictors of high school mathematics achievement

Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students' knowledge of fractions and of division uniquely predicts those students' knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.     

论周敦颐《太极图说》的道家学脉关系——兼论濂溪的道家生活情趣

<正>一、前言周敦颐继承了隋唐五代以来儒释道三教融合的开阔学风。从他的人生历程来看,他既有儒家入仕传统的一面,也有由庄子所开启的文人传统的一面。①作为一位由士入仕的儒者,周敦颐支持范仲淹     

行政职业能力倾向测验:历史、现状与未来研究

经过二十多年的发展,行政职业能力倾向测验已经成为公务员考试中不可缺少的测评工具之一。在实践发展中,行测内外部的变化引发了许多研究问题。然而,现有研究的广度和深度都较为有限。为了提高行测的科学化水平,该文指出未来亟需从以下方面开展研究:(1)借鉴认知诊断理论对各个题型进行研究;(2)测量结构的确立;(3)分级分类考试的架构设计;(4)新题型开发;(5)分数合成;(6)试题公平性等。