自然数码奇象记忆法记忆复杂数字的神经机制

本研究采用学习-再认范式和复杂数字记忆材料,考察自然数码奇象记忆法相对于机械记忆法在记忆提取上的优势及神经机制。行为结果表明,自然数码奇象记忆法比机械记忆法的再认准确率更高。事件相关电位分析结果显示,再认提取阶段奇象记忆条件下诱发的N400和N700波幅显著更低,这说明奇象记忆提取更容易。在自然数码奇象记忆条件下,正确再认旧数字诱发的前额区、左顶枕叶区及中顶枕叶区N700成分与使用自然数码奇象记忆有关。本研究表明,采用自然数码奇象记忆可以减少或跨越语义加工,从而提高个体对材料的记忆效率。     

汉语名词短语产生中的量词一致性效应

目前,语言产生领域的多数研究都集中在口语词语产生方面,许多研究者针对不同的语言系统的特色,对功能词进行了大量跨语言的研究。汉语量词是汉藏语系独有的功能词,本研究采用词图干扰范式,以名词短语和简单名词两种不同的图片命名任务,探讨了汉语量词的产生过程。实验结果发现,在名词短语命名任务下,存在量词的一致性效应;在名词命名的任务下,则不存在这种一致性效应。研究还发现语义干扰效应在两种不同命名任务下出现了分离。语义干扰效应只在命名名词的任务下出现,在命名名词短语的任务下未被发现。     

Response–effect compatibility of finger–numeral configurations in arithmetical context

Research in experimental economics suggests that decision making in strategic interactions is often guided by a concern for fairness. However, experimental economics studies routinely place participants of equal social status and no prior social history in anonymous interactions, a context that would tend to foster the adoption of an egalitarian fairness norm. Extensive research in anthropology (Fiske, 1991) and psychology (Bugental, 2000) suggests that social norms, including fairness norms, are relationship-specific, raising doubts about whether the concern for egalitarian fairness observed in the experimental economics literature would generalize to a wider range of social relations. In this paper we focus on an alternative social norm characteristic of hierarchical relationships: noblesse oblige—the obligation of high-ranking individuals to act honorably and beneficently towards subordinates. In a series of five experiments, we show that the norm of noblesse oblige predicts tolerance of free riding better than individual self-interest does.     

Numeral Classifiers and the White Horse Paradox

This paper presents an interpretation of Gongsun Long＇s white horse paradox. The Chinese sentence he uses to state his main thesis （Bai ma fei ma） has two potential readings： （a） The white horses are not horses. （b） The white horses are not the horses Although （a） gives the usual and correct reading of the sentence, according to the interpretation, Gongsun Long takes it to state （b）. He gives good arguments for （b） while taking them to establish （a） as well, for he fails to distinguish between the two different theses. In presenting this interpretation, the paper gives an account of the function of numeral classifiers and discusses the semantics of count nouns in languages with no grammatical number system, including classical Chinese and classifier languages （e.g., contemporary Chinese）.     

以信息增益模式探讨在高维数据上的多类别证型分类

在慢性胃炎研究上决策树归纳法之使用已渐增加,以决策树归纳法同时表示信息增益以区别胃炎症状对证型分类之贡献,能更正确地区别慢性胃炎。而信息增益已广泛地用于评估两分分类,仅有很少报导有关多类别慢性胃炎分类,它需要探索多类别慢性胃炎分类之信息增益。本研究提出基于名目及次序样本类结果的决策树归纳法所做的多类别慢性胃炎分类,例如,不同慢性胃炎次型的症状样本,评估是以决策树归纳法与Friedman-Goldszmid,HGC,Cheng判别法之正确率作比较。显示平均正确率64.9%优于前三者且提高1.55%。     

Fast face detection using a unified architecture for unconstrained and infrared face images

Human face detection along with its localization is a difficult task when the face is presented in the cluttered scene in an unconstrained scenario that might be with arbitrary pose variations, occlusions, random backgrounds and infrared (IR) environment. This paper proposes a novel face detection method which can address some of these issues and challenges quite successfully during face detection in unconstrained as well as infrared environments. It makes use of Fast Successive Mean Quantization Transform (FastSMQT) features for image enhancement and feature representation to deal with illumination and sensor insensitiveness. A split up Sparse Network of Winnows (SNoW) with Winnow updating rule is then exploited to speed up the original SNoW classifier. Finally, the features and classifiers are combined together with skin detection algorithm for face detection in crowd image and head orientation correction of near infrared faces. The proposed face detector is robust in handling pose, occlusion, illumination, blur and low image resolution. The experiment is performed on six challenging and publicly available databases, viz. BIOID, LFW, FDDB, UFI, WIDER FACE and IIT Delhi near infrared. The experimental results depict that the proposed method outperforms traditional as well as some advanced methods in detecting unconstrained and infrared faces under challenging situations.     

简单心算中数学学习困难儿童的数字距离效应

采用事件相关电位(ERP)方法,以阿拉伯数字的简单心算为任务,考察数学学习困难儿童(MD)的数字距离效应。行为数据的结果表明:MD组没有出现数字距离效应,对照组儿童出现了数字距离效应。事件相关电位数据显示:与对照组相比,MD组N270的潜伏期更长;两组被试在N270的波幅和潜伏期上都没有表现出数字距离效应。研究结果表明:MD儿童对数量信息的空间表征存在缺陷。     

语义类标记在中国手语词词汇识别和语义提取中的作用

通过2个实验, 考察了语义类标记在中国手语词汇识别和语义提取中的作用。实验1采用手语词汇判断任务, 比较了有、无语义类标记的手语词汇识别。实验2采用语义决定任务, 探讨了语义类标记对手语词语义提取的影响。结果表明, 语义类标记影响聋生对手语词的识别和语义提取。聋生识别有语义类标记的手语词显著快于识别无语义类标记的手语词。当语义类标记与手语词的语义一致时, 能够促进聋生对手语词的语义提取; 当语义类标记与手语词的语义不一致, 会干扰聋生对手语词的语义提取。中国手语词语义类标记效应的发现, 丰富了中国手语词词汇认知的理论, 对聋人的语言教学和概念教学具有重要的启示。     

时间隐喻在汉语时间量词语义加工中的作用

通过三个实验, 考察了时间隐喻在汉语时间量词语义加工中的作用。实验1表明, 当时间量词的水平方向隐喻(“长–短”)与字词的空间长度特征(“长–短”或“宽–窄”)不一致时, 语义加工受到了干扰; 实验2表明, 虽然“高–矮”亦为字词的空间特征, 但对时间量词的语义加工没有显著的影响, 证明时间的空间隐喻受讲话者的语言使用习惯影响; 实验3表明, 通过使用不同长度的背景降低了字形变化对于语义加工的影响之后, 与字形一致、隐喻不一致的条件比, 字形和隐喻皆不一致的条件引起了更大的干扰。整个研究表明, 汉语讲话者的时间隐喻只受空间的水平方向特征(“长–短”或“宽–窄”)影响, 不受空间的竖直方向特征(“高–矮”)影响。时间概念以空间长度特征为中介, 在长时记忆中与知觉符号同时储存。