MATLAB and graphical user interfaces: Tools for experimental management

MATLAB is a convenient platform for the development and management of psychological experiments because of its easy-to-use programming language, sophisticated graphics features, and statistics and optimization tools. Through implementation of the Brainard-Pelli Psychophysics Toolbox, the MATLAB user gains close temporal and spatial control over the CRT, while retaining the simplicity of an interpreted language conducive to rapid program development. MATLAB’s abilities can be further utilized through easily programmable graphical user interfaces (GUIs). We illustrate how a GUI can serve as a powerful and intuitive tool for organizing and controlling all aspects of a psychological experiment, including design, data collection, data analysis, and theory fitting.     

The Rôle of Language In Belief Revision

Analytical tools that give precision to the concept of "independence of syntax" are developed in the form of a series of substitutivity principles. These principles are applied in a study of the rôle of language in belief revision theory. It is shown that sets of sentences can be used in models of belief revision to convey more information than what is conveyed by the combined propositional contents of the respective sets. It is argued that it would be unwise to programmatically restrain the use of sets of sentences to that of representing propositional contents. Instead, the expressive power of language should be used as fully as possible. Therefore, syntax-independence should not be seen as a criterion of adequacy for language-based models of information-processing, but rather as a property that emerges from some but not all the idealization processes through which such models are constructed.     

False belief and language comprehension in Cantonese-speaking children

The current research compared two accounts of the relation between language and false belief in children, namely that (a) language is generally related to false belief because both require secondary representation in a social-interactional context and that (b) specific language structures that explicitly code metarepresentation contribute uniquely to the language-false belief relation. In three studies, attempts were made to correlate Cantonese-speaking children's false belief with their general language comprehension and understanding of certain structures that explicitly express metarepresentational knowledge. Results showed that these structures failed to predict false belief after age, nonverbal intelligence, and general language comprehension were considered. In contrast, general language remained predictive of false belief after controlling for age, nonverbal intelligence, and language structures. The current findings are more consistent with a general language account than a language structure account.     

Evolution of language: Lessons from the genome

The post-genomic era is an exciting time for researchers interested in the biology of speech and language. Substantive advances in molecular methodologies have opened up entire vistas of investigation that were not previously possible, or in some cases even imagined. Speculations concerning the origins of human cognitive traits are being transformed into empirically addressable questions, generating specific hypotheses that can be explicitly tested using data collected from both the natural world and experimental settings. In this article, I discuss a number of promising lines of research in this area. For example, the field has begun to identify genes implicated in speech and language skills, including not just disorders but also the normal range of abilities. Such genes provide powerful entry points for gaining insights into neural bases and evolutionary origins, using sophisticated experimental tools from molecular neuroscience and developmental neurobiology. At the same time, sequencing of ancient hominin genomes is giving us an unprecedented view of the molecular genetic changes that have occurred during the evolution of our species. Synthesis of data from these complementary sources offers an opportunity to robustly evaluate alternative accounts of language evolution. Of course, this endeavour remains challenging on many fronts, as I also highlight in the article. Nonetheless, such an integrated approach holds great potential for untangling the complexities of the capacities that make us human.     

如何利用开源工具分析fMRI数据：基于多体素模式的有监督机器学习算法介绍

摘要：目前,多体素模式分析（MVPA）日渐普遍地应用于脑影像研究。近些年,机器学习的模式分类等算法在MVPA方法中被广泛应用,因其具有能够抽取高维数据模式,提高数据利用率的优点。其中一种典型的应用是利用解码的思想来解决神经表征问题,本文主要介绍了利用基于Python语言的工具库中有监督学习算法分析数据的过程。除介绍Nilearn结合Scikit-learn分析数据的步骤外,还比较不同算法的效率,为算法的选择及参数设备提供具体参考。     

双语者代码切换的认知与神经机制——从行为研究到脑成像研究

双语者代码切换的机制已引起心理语言学家和认知神经科学家的广泛关注。研究分别在行为层面和神经机制层面展开。发现,双语者在进行代码切换时会出现切换代价,切换代价来源于心理词典外部的语言任务图式之间的竞争,其机制可能与中央执行控制机制有密切联系,左侧额下回、双侧缘上回和背外侧前额叶等脑区参与了双语者的代码切换过程。文章还分析了在这一领域仍待研究的一些问题,并提出了进一步开展双语代码切换研究的建议。     

《周易》对探索潜意识启示

隐喻是一种语言现象,也是一种认知方式。《周易》是一套复杂的隐喻认知系统,“象”与“理”都是认识事物的思维方式。潜意识通过心理表征以隐喻的方式呈现,精神分析师借助隐喻方法来分析潜意识。将潜意识的呈现形式(如梦、口误等)理解为某种“象”,把“象”作为表征潜意识的符号与工具,通过“观象、取象、辨象、立象、尽意”这个认知过程,实现对“理”(潜意识)的理解。通过“象思维”来探索潜意识对中国人来说具有文化上亲和性,克服精神分析中的“无结构性”与“语言的限制”。     

Bilingual Language Mixing: Why Do Bilinguals Code-Switch?

Bilingual speakers often code-switch from one language to another, especially when both languages are used in the environment. This article explores the potential theoretical explanations for this language behavior, the costs and benefits associated with language switching, and the role of language dominance in the direction of the switch. In short, code switching follows functional and grammatical principles and is a complex, rule-governed phenomenon. Although significant progress has been made in understanding the psycholinguistics of code switching, research is needed to examine the cognitive mechanisms underlying the bilingual's ability to integrate and separate two languages during the communicative process.     

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.     

Ambiguity, trust, and the responsible conduct of research

Ambiguity associated with everyday practice of science has made it difficult to reach a consensus on how to define misconduct in science. This essay outlines some of the important ambiguities of practice such as distinguishing data from noise, deciding whether results falsify a hypothesis, and converting research into research publications. The problem of ambiguity is further compounded by the prior intellectual commitments inherent in choosing problems and in dealing with the skepticism of one's colleagues. In preparing a draft code of ethics for the American Society of Biochemistry and Molecular Biology (ASBMB), an attempt was made to take into account the ambiguities of practice. Also, the draft code adopted trust as its leading principle, specifically the importance of trust as a condition necessary for there to be science. During revision of the code, the focus on trust was changed. The new orientation was on trust as a consequence of carrying out science responsibly. By addressing the obligations necessary to engender trust, the ASBMB ethics code not only sets professional standards, but also makes a clear statement of public accountability.     

The item-based nature of children's early syntactic development

Recent research using both naturalistic and experimental methods has found that the vast majority of young children's early language is organized around concrete, item-based linguistic schemas. From this beginning, children then construct more abstract and adult-like linguistic constructions, but only gradually and in piecemeal fashion. These new data present significant problems for nativist accounts of children's language development that use adult-like linguistic categories, structures and formal grammars as analytical tools. Instead, the best account of these data is provided by a usage-based model in which children imitatively learn concrete linguistic expressions from the language they hear around them, and then - using their general cognitive and social-cognitive skills - categorize, schematize and creatively combine these individually learned expressions and structures.     

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.     

Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding

Judging goodness of fit in multidimensional scaling requires a comprehensive set of diagnostic tools instead of relying on stress rules of thumb. This article elaborates on corresponding strategies and gives practical guidelines for researchers to obtain a clear picture of the goodness of fit of a solution. Special emphasis will be placed on the use of permutation tests. The second part of the article focuses on goodness-of-fit assessment of an important variant of multidimensional scaling called unfolding, which can be applied to a broad range of psychological data settings. Two real-life data sets are presented in order to walk the reader through the entire set of diagnostic measures, tests, and plots. R code is provided as supplementary information that makes the whole goodness-of-fit assessment workflow, as presented in this article, fully reproducible.     

The Measuring and Observation Tool in Sports

The Measuring and Observation Tool in Sports (MOTS) has been designed to facilitate the systematic observation of sports. It is a user-friendly tool developed to help researchers observe, codify, register, and analyze any situation that occurs in a natural or habitual context in which behaviors are spontaneous. Users can define up to 12 mutually exclusive code sets and up to 120 different behaviors to facilitate data collection and can work with any observational data type: event sequences, event sequences over time, state sequences, interval sequences, or multievent sequences. MOTS plays digital video files, which allows for video and taxonomic tools to be displayed on the screen at the same time. The observations are registered automatically, including the time and duration of the event, in frames and seconds simultaneously. Furthermore, the data analysis feature allows the user to calculate the percentage of intervals, the frequency distributions, and the conditional probabilities.     

Interpreting spatial language in image captions

The map as a tool for accessing data has become very popular in recent years, but a lot of data do not have the necessary spatial meta-data to allow for that. Some data such as photographs however have spatial information in their captions and if this could be extracted, then they could be made available via map-based interfaces. Towards this goal, we introduce a model and spatio-linguistic reasoner for interpreting the spatial information in image captions that is based upon quantitative data about spatial language use acquired directly from people. Spatial language is inherently vague, and both the model and reasoner have been designed to incorporate this vagueness at the quantitative level and not only qualitatively.     

Academic Deans,Codes of Ethics,and……Fiduciary Duties?

College and university academic deans must comply with two sets of professional regulations. As faculty members, they must adhere to their institution's internally generated code of ethics. As administrators and agents of their institution, they must meet the fiduciary duties of diligence and loyalty. Both sets of regulations are similar in the obligations they impose on a dean, the degree of care they demand of a dean in the execution of those obligations, the nature of a breach of those obligations by a dean, the procedures by which the breach of an obligation is addressed, and the remedies available to the institution against a dean following a breach. Colleges and universities should develop and publish both an ethics code and a fiduciary code. Both sets of regulations, however, should avoid common shortcomings. Ethics codes should not be too specific or too general, overly simplistic or highly complex, or outstripped by the rapidly changing world of academia. A codification of fiduciary duties should avoid the problems of poor definition or ambiguity. Developing an institutional code of professional responsibility that incorporates both ethical and fiduciary responsibilities would provide an academic dean with a more comprehensive benchmark for professional expectations and responsibilities. The interplay between the two sets of complementary regulations would further clarify the professional expectation of an academic dean and may also ameliorate some of the shortcomings inherent in an ethics code.     

Signs as pictures and signs as words: effect of language knowledge on memory for new vocabulary

The role of sensory attributes in a vocabulary learning task was investigated for a non-oral language. Deaf and hearing individuals, more or less skilled in the use of sign language, were asked to learn the English meanings of 22 invented signs which followed the rules of formation for signs in American Sign Language. Each sign stimulus was highly similar in formation to another sign in the set. It was expected that skilled signers would be less affected by this formational similarity because of their greater familiarity with the linguistic structure of sign language. Furthermore, it was suggested that skilled signers would form a visual-linguistic code for the signs while unskilled signers would produce a code from general visual-pictorial processes. These representation differences were expected to lead to qualitatively different error patterns in response to sign similarity. All expectations were confirmed. Skilled signers encoded invented signs in terms of linguistic structure, while unskilled individuals approached the signs as visual-pictorial events. Although both codes are sensory, one reflects linguistic abstraction, and the other does not.     

主语表征预报思维指向状态的马尔科夫链模型

个体的语言表征是一种随机现象, 在连续句子构成的语言表征中, 句子主语表征现象具有马氏性。采用马尔科夫链模型建构句子主语表征的状态转移概率矩阵, 发现主语表征的名词(n)/代词(r)是一个正则链。主语表征变化规律反映思维指向的变化规律, 个体根据对环境的适应需要, 通过第一个句子的主语表征反映出客观思维或主观思维指向的随机性, 通过N个句子则反映出个体既关注外界又关注自我的思维指向稳定性的特征。外显的语言表征是观察内隐的心理变化的客观线索, 运用数学模型的方法, 通过语言表征的规律可以对心理活动的可能变化做出预报。