语言和音乐层级结构的加工

语言和音乐在呈现过程中, 小单元相互结合组成更大的单元, 最终形成层级结构。已有研究表明, 听者能够将连续的语流和音乐切分成层级结构, 并在大脑中形成层级表征。在感知基础之上, 听者还能将新出现的语言和音乐事件整合到层级结构之中, 形成连贯理解, 最终顺利地完成交流过程。未来研究应剖析边界线索在层级结构感知中的作用, 考察不同层级整合过程的影响因素, 进一步探索语言和音乐层级结构加工的关系。     

Thought beyond language: neural dissociation of algebra and natural language

A central question in cognitive science is whether natural language provides combinatorial operations that are essential to diverse domains of thought. In the study reported here, we addressed this issue by examining the role of linguistic mechanisms in forging the hierarchical structures of algebra. In a 3-T functional MRI experiment, we showed that processing of the syntax-like operations of algebra does not rely on the neural mechanisms of natural language. Our findings indicate that processing the syntax of language elicits the known substrate of linguistic competence, whereas algebraic operations recruit bilateral parietal brain regions previously implicated in the representation of magnitude. This double dissociation argues against the view that language provides the structure of thought across all cognitive domains.     

The Impacts of Ignoring a Crossed Factor in Analyzing Cross-Classified Data

Cross-classified random-effects models (CCREMs) are used for modeling nonhierarchical multilevel data. Misspecifying CCREMs as hierarchical linear models (i.e., treating the cross-classified data as strictly hierarchical by ignoring one of the crossed factors) causes biases in the variance component estimates, which in turn, results in biased estimation in the standard errors of the regression coefficients. Analytical studies were conducted to provide closed-form expressions for the biases. With balanced design data structure, ignoring a crossed factor causes overestimation of the variance components of adjacent levels and underestimation of the variance component of the remaining crossed factor. Moreover, ignoring a crossed factor at the kth level causes underestimation of the standard error of the regression coefficient of the predictor associated with the ignored factor and overestimation of the standard error of the regression coefficient of the predictor at the (k?1)th level. Simulation studies were also conducted to examine the effect of different structures of cross-classification on the biases. In general, the direction and magnitude of the biases depend on the level of the ignored crossed factor, the level with which the predictor is associated at, the magnitude of the variance component of the ignored crossed factor, the variance components of the predictors, the sample sizes, and the structure of cross-classification. The results were further illustrated using the Early Childhood Longitudinal Study-Kindergarten Cohort data.     

An Investigation of the Structural Validity of Loevinger's Model and Measure of Ego Development

This study demonstrates the use of structural equation modeling for investigating a hierarchical model of personality based on Loevinger's (1976) conceptualization. This model was constructed to have a multifactorial and hierarchical structure in which the ego development construct served as the source of covariation for specific personality constructs of impulse control, interpersonal style, conscious preoccupations, and cognitive style. This model and three other conceivable models were investigated to determine which structure best represented the relations among specific personality constructs and ego development. The specific personality constructs were identified by measures chosen from the available pool of measures that were compatible with Loevinger's conceptualization. The four conceivable models were fitted to sample data from 267 adult subjects using confirmatory factor analysis and were compared with indices of model fit and methods for comparison of nested models. Results suggested that the four specific personality constructs and ego development are part of the same process. Although a hierarchical structure appeared tenable for this process, the role of ego development perhaps is not as dominant as envisioned by Loevinger. These results must be considered tentative due to measurement limitations.     

The interaction between phonological processing, syntactic awareness, and naming speed in the reading and spelling performance of first-grade children

The performance of 267 first-grade children was examined on tasks assessing phonological processing, syntactic awareness, and naming speed. The children were also given several measures of word and pseudoword reading, reading comprehension, and pseudoword and dictation spelling. A series of hierarchical analyses indicated that three variables (phonological awareness, syntactic awareness, and naming speed) were still predictors of reading and spelling performance after variance in the others had been controlled for. The results, which confirm that syntactic awareness can account for variance in written language after phonological ability had been controlled for, support the hypothesis concerning the relationships between naming-speed processes and written language, and challenge the unitary phonological theory of reading difficulty.     

Sequential learning in non-human primates

Sequential learning plays a role in a variety of common tasks, such as human language processing, animal communication, and the learning of action sequences. In this article, we investigate sequential learning in non-human primates from a comparative perspective, focusing on three areas: the learning of arbitrary, fixed sequences; statistical learning; and the learning of hierarchical structure. Although primates exhibit many similarities to humans in their performance on sequence learning tasks, there are also important differences. Crucially, non-human primates appear to be limited in their ability to learn and represent the hierarchical structure of sequences. We consider the evolutionary implications of these differences and suggest that limitations in sequential learning may help explain why non-human primates lack human-like language.     

Emotional Experience and Its Relation to the Five-Factor Model in Estonian

ABSTRACT In this article we studied relations between self-rated emotional experience and the five-factor model of personality. Replicating previous findings we found that two dominant dimensions of emotional experience, Negative Affect and Positive Affect (that accounted for three to five times more total variance among Estonian emotion-related terms than any other factors) are selectively related to Neuroticism and Extraversion. Data supported the hierarchical taxonomy scheme proposed by Watson and Clark (1992) in which two broad higher order affective states were each composed of several correlated but still clearly distinguishable moods with their specific content. The content of specific emotions mapped systematically onto measures of personality: Affect scales explained 40% to 50% of the total variance of Neuroticism, Extraversion, and Conscientiousness, approximately 20% of the total variance of Agreeableness, and only 13% of Openness to Experience. Besides the replication of the hierarchical bipartite structure of emotion terms itself in a non-Indo-European language, our data demonstrated that the general pattern of associations between affect and personality domains is also generalizable across languages and cultures.     

A context-free language for binary multinomial processing tree models

This paper provides a new formalization for the class of binary multinomial processing tree (BMPT) models, and theorems for the class are developed using the formalism. MPT models are a popular class of information processing models for categorical data in specific cognitive paradigms. They have a recursive structure that is productively described with the tools of formal language and computation theory. We provide an axiomatization that characterizes BMPT models as strings in a context-free language, and then we add model-theoretic axioms and definitions to interpret the strings as parameterized probabilistic models for categorical data. The language for BMPT models is related to the Full Binary Tree language, a well-studied context-free language. Once BMPT models are viewed from the perspective of the Full Binary Tree language, a number of theoretical and computational results can be developed. In particular, we have a number of results concerning the enumerations of BMPT models as well as the identifiability of subclasses of these models.     

Does functional neuroimaging solve the questions of neurolinguistics?

Neurolinguistic research has been engaged in evaluating models of language using measures from brain structure and function, and/or in investigating brain structure and function with respect to language representation using proposed models of language. While the aphasiological strategy, which classifies aphasias based on performance modality and a few linguistic variables, has been the most stable, cognitive neurolinguistics has had less success in reliably associating more elaborately proposed levels and units of language models with brain structure. Functional imaging emerged at this stage of neurolinguistic research. In this review article, it is proposed that the often-inconsistent superfluity of outcomes arising from functional imaging studies of language awaits adjustment at both "ends" of the process: model and data. Assumptions that our current language models consistently and reliably represent implicit knowledge within human cerebral processing are in line for major revision; and the promise of functional brain imaging to reveal any such knowledge structures must incorporate stable correlates of the imaging signal as dependent variable.     

Consequences of the serial nature of linguistic input for sentenial complexity

All other things being equal the parser favors attaching an ambiguous modifier to the most recent possible site. A plausible explanation is that locality preferences such as this arise in the service of minimizing memory costs—more distant sentential material is more difficult to reactivate than more recent material. Note that processing any sentence requires linking each new lexical item with material in the current parse. This often involves the construction of long-distance dependencies. Under a resource-limited view of language processing, lengthy integrations should induce difficulty even in unambiguous sentences. To date there has been little direct quantitative evidence in support of this perspective. This article presents 2 self-paced reading studies, which explore the hypothesis that dependency distance is a fundamental determinant of reading complexity in unambiguous constructions in English. The evidence suggests that the difficulty associated with integrating a new input item is heavily determined by the amount of lexical material intervening between the input item and the site of its target dependents. The patterns observed here are not straightforwardly accounted for within purely experience-based models of complexity. Instead, this work supports the role of a memory bottleneck in language comprehension. This constraint arises because hierarchical linguistic relations must be recovered from a linear input stream.     

Hierarchical Vs. Generally Overlapping Models In Psychiatric Classification

This paper illustrates two formal models for psychiatric classification. The first model, called a hierarchical or tree structure, requires patient categories to be disjoint or strictly nested. The second model, called the generally overlapping or network model, allows patient categories to cut across each other in a variety of different ways. Thus, patient groups can be disjoint, strictly nested (as in a hierarchy), or partially overlapping. To derive classification schemes consistent with the structural models, two different clustering techniques were applied to interpatient similarity data collected on 50 psychiatric patients. A hierarchical clustering technique was applied to the similarity data to obtain a hierarchical classification. To obtain a generally overlapping classification, Peay's cliquing procedure was applied to the same data. Two criteria were used to compare the clustering solutions. First, a solution's goodness-of-fit to the original data was examined by calculating the proportion of variance accounted for by cluster categories. Second, the predictive accuracy of a solution was analyzed by looking at the categories' ability to predict treatment assignment. The generally overlapping solution produced the best fit to the original similarity data; however, the hierarchical solution's clusters tended to be more readily interpretable in terms of psychiatric syndromes. Both clustering solutions were relatively poor predictors of treatment assignment. It was concluded that the hierarchical and generally overlapping approaches, although not conclusively demonstrated, represented promising models for psychiatric classification.     

语言能力的老化机制：语言特异性与非特异性因素的共同作用

语言能力的衰退是由于一般认知能力衰退引起的, 还是由于语言加工系统的衰退引起的, 抑或是两者的共同作用?研究中测量了青年组和老年组的一般认知能力(加工速度、工作记忆和抑制能力), 以及在词汇、句子和语篇三个水平上的语言理解能力和语言产生能力。结果发现, 一般认知能力、语言理解和语言产生能力都存在年老化现象。分层回归分析表明, 一般认知能力对语言能力的贡献, 以及语言理解能力和产生能力之间的相互贡献在青年组和老年组中是不同的, 且存在词汇、句子和语篇水平上的差异。在词汇水平上, 青年人的成绩能够被一般认知能力和另一种语言能力所显著预测, 而老年人的成绩却不受一般认知因素影响; 在句子水平上, 青年人的成绩仍能被一般认知能力或另一种语言能力所解释, 但这两类变量都无法预测老年人的任务成绩; 在语篇水平上, 青年人理解任务的成绩显著地受到产生能力影响, 而老年人的理解和产生任务成绩则分别可以被一般认知能力和语言理解能力所解释。对组间差异的回归分析表明, 一般认知能力和另一种语言能力对组间差异都有显著贡献, 且前者的贡献大于后者。上述研究结果表明, 语言能力的老化是语言特异性因素和非特异性因素共同作用的结果。     

Where and how does grammatically geared processing take place-and why is Broca's area often involved. A coordinated fMRI/ERBP study of language processing

We address the possibility of combining the results from hemodynamic and electrophysiological methods for the study of cognitive processing of language. The hemodynamic method we use is Event-Related fMRI, and the electrophysiological method measures Event-Related Band Power (ERBP) of the EEG signal. The experimental technique allows us to approach the relation between cortical structure and cognitive function in a sophisticated way. In particular, we can formulate original working hypotheses about the language-induced changes in the ongoing brain dynamics. We show, on the basis of electrophysiological data collected in an experiment on language production, that synchronized cortical networks code cognitive processes induced by language in form of power modulations of specific frequency bands. The hemodynamic (fMRI) data collected in the same task point to the existence of a central processor for the phrase structure assignment. We conceptualize such a central processor as a frequency scanner, a cortical device designed to pick up synchronized brain activity over a specific range of frequencies. We discuss the experimental designs which result from this set of hypotheses and show their relevance for the models of language processing.     

Post-traumatic stress disorder symptoms in United Nations peacekeepers: an examination of factor structure in peacekeepers with and without chronic pain

Recent factor analytic investigations of post-traumatic stress disorder in military veterans suggest that symptoms are best described by either a hierarchical 2-factor model or a 4-factor inter-correlated model. Other recent evidence suggests that post-traumatic stress disorder and chronic pain are intricately related; however, the nature of this relationship is not well understood. Factor analysis provides one method for clarifying this relationship. In study 1, we compared competing models of post-traumatic stress disorder symptom structure in a sample of 400 male United Nations peacekeepers using confirmatory factor analysis. Results indicated that both the hierarchical 2-factor and the 4-factor inter-correlated models provided good fit to the data. In study 2, the reliability of these models was assessed in 427 male United Nations peacekeepers with chronic back pain and 341 without. Group comparisons of the confirmatory factor analysis results revealed that the structure of the hierarchical 2-factor and 4-factor inter-correlated models both provided good fit to the data in both the chronic back pain and the group without. However, the structure of the models for the group with chronic back pain group differed in significant ways from that of the group without chronic back pain. Post-traumatic stress disorder symptoms in military veterans can be adequately conceptualized using either a hierarchical 2-factor or 4-factor inter-correlated model. Chronic pain has a minimal influence on overall factor structure. The hierarchical 2-factor model, while parsimonious, does not provide the degree of symptom detail provided by the 4-factor inter-correlated model. Implications for conceptualization of post-traumatic stress disorder symptoms for patients with chronic back pain and significant post-traumatic stress disorder symptomatology are discussed.     

音乐句法加工的认知机制与音乐结构的影响模式

音乐和语言是人类最重要的两种交流系统。与语言一样, 音符的排列和组织也是建立在一定的句法规则之上。尽管现有研究发现听众具有感知音乐句法的能力, 音乐句法加工的认知机制以及影响因素仍不清楚。基于此, 拟深入探究预期和整合在音乐音高句法加工中的作用, 以及音乐层级结构和时间结构对音高句法加工的影响。以期进一步揭示音乐句法加工的本质, 为音乐和语言的比较以及探索人类更一般的交流机制提供实证依据。     

Post-Traumatic Stress Disorder Symptoms in United Nations Peacekeepers: An Examination of Factor Structure in Peacekeepers with and without Chronic Pain

Recent factor analytic investigations of post-traumatic stress disorder in military veterans suggest that symptoms are best described by either a hierarchical 2-factor model or a 4-factor inter-correlated model. Other recent evidence suggests that post-traumatic stress disorder and chronic pain are intricately related; however, the nature of this relationship is not well understood. Factor analysis provides one method for clarifying this relationship. In study 1, we compared competing models of post-traumatic stress disorder symptom structure in a sample of 400 male United Nations peacekeepers using confirmatory factor analysis. Results indicated that both the hierarchical 2-factor and the 4-factor inter-correlated models provided good fit to the data. In study 2, the reliability of these models was assessed in 427 male United Nations peacekeepers with chronic back pain and 341 without. Group comparisons of the confirmatory factor analysis results revealed that the structure of the hierarchical 2-factor and 4-factor inter-correlated models both provided good fit to the data in both the chronic back pain and the group without. However, the structure of the models for the group with chronic back pain group differed in significant ways from that of the group without chronic back pain. Post-traumatic stress disorder symptoms in military veterans can be adequately conceptualized using either a hierarchical 2-factor or 4-factor inter-correlated model. Chronic pain has a minimal influence on overall factor structure. The hierarchical 2-factor model, while parsimonious, does not provide the degree of symptom detail provided by the 4-factor inter-correlated model. Implications for conceptualization of post-traumatic stress disorder symptoms for patients with chronic back pain and significant post-traumatic stress disorder symptomatology are discussed.     

Syllabic Effects in Italian Lexical Access

Two cross-modal priming experiments tested whether lexical access is constrained by syllabic structure in Italian. Results extend the available Italian data on the processing of stressed syllables showing that syllabic information restricts the set of candidates to those structurally consistent with the intended word (Experiment 1). Lexical access, however, takes place as soon as possible and it is not delayed till the incoming input corresponds to the first syllable of the word. And, the initial activated set includes candidates whose syllabic structure does not match the intended word (Experiment 2). The present data challenge the early hypothesis that in Romance languages syllables are the units for lexical access during spoken word recognition. The implications of the results for our understanding of the role of syllabic information in language processing are discussed.