基于规则的类别学习和信息整合的类别学习

该文介绍了类别学习的双重系统理论:基于规则的类别学习指的是学习一种可以用言语表述的规则,是一种外显学习系统;信息整合的类别学习指的是学习一种难以用言语表述的规则,是一种内隐学习系统。同时介绍了类别学习的主要理论模型,以及支持双系统理论的实证研究,包括行为、临床和认知神经实验的研究结果。     

高自尊的异质性研究述评

自尊不只有高低之分,很多研究者分别从实证研究的结果矛盾性、对自尊的概念及其测量方法的理论思考等方面论述了高自尊异质性存在的可能性,并分别从不同角度提出了高自尊的不同类型及其测量方法,如,不稳定的高自尊与稳定的高自尊、防御的高自尊与真诚的高自尊、相倚的高自尊与真正的高自尊、高外显低内隐自尊与高外显高内隐自尊、脆弱的高自尊与安全的高自尊等,其测量方法也因不同类型而不同。这些研究均说明高自尊存在异质性,需在未来的自尊研究中加以注意     

归类不确定情景下特征推理的综合条件概率模型

用大学生被试,通过三个实验探讨在集中呈现类别成员样本信息的归类不确定情景下的特征推理。实验结果表明,单纯的归类确定性程度和靶类别靶特征的代表性并不直接影响被试的特征推理,而是预测特征相对于目标特征的综合条件概率直接影响被试的特征推理;特征推理不是基于类别中介的间接推理,而是基于特征关联综合条件概率的直接推理。实验结果支持作者提出的预测特征综合条件概率模型。     

习得的语言范畴对注意前颜色范畴知觉的影响:一项ERP研究

该研究探讨了语言范畴对注意前颜色知觉的影响依赖于语言范畴与颜色长期联结还是其即时分类颜色,同时检验了习得的语言范畴是否能因果性地改变早期颜色知觉机能。采用G1、G2、B1、B2（前两者为绿色,后两者为蓝色）4种连续变化的颜色为材料。学习组和分类组被试分别接受6次和1次色词与颜色重组训练,学习4种颜色不同的新名称,并在之后均接受视觉Oddball脑电测试。训练结果显示：学习组稳定地习得了4种颜色的新名称,分类组能以新名称将颜色分为4类。测试结果显示：学习组的颜色知觉中出现了与习得语言范畴对应的偏侧化注意前颜色范畴知觉,分类组的颜色知觉中未出现与颜色分类对应的偏侧化注意前颜色范畴知觉。研究结果表明：语言范畴对注意前颜色知觉的影响依赖于语言范畴与颜色长期联结而非其即时分类颜色;习得的语言范畴能引起偏侧化注意前颜色范畴知觉,提示习得的语言范畴能因果性地改变早期颜色知觉机能。     

塞辅音范畴通达的时间进程：来自语境效应的证据

采用语境效应范式,以汉语听者为被试,在三个实验中考察了塞辅音声学信息和语音信息激活的时间进程。实验1语境刺激是/ta/、/ka/音节和/ta/、/ka/塞音段的声学模拟音,目标刺激是/ta/-/ka/对比连续体,结果发现,塞音声学信息激活没有产生语境效应。实验2语境刺激是/ta/、/ka/音节和/ta/、/ka/塞音段,结果发现塞音语音信息激活产生了显著的对比语境效应。实验3变化塞音段和目标刺激之间的间隔,系统考察塞音范畴通达的时间进程,结果发现,塞音知觉中听觉加工阶段向语音加工阶段的转变约发生于刺激加工后120 ms。实验结果揭示了塞辅音知觉中音位范畴通达的时间进程。     

范畴变量对虚假记忆的影响

以中文词为材料,考察范畴样例重复,样例熟悉性、典型性和范畴大小对虚假再认的影响。实验1表明,随着范畴样例增加,虚假再认也增加。实验2表明,对高熟悉的样例虚假再认多。实验3表明,对高典型样例更易虚假再认。实验4表明,和大范畴样例比,对小范畴样例有更多的虚假再认。整个结果可以用激活扩散理论统一地加以解释     

Ontologies and Worlds in Category Theory: Implications for Neural Systems

We propose category theory, the mathematical theory of structure, as a vehicle for defining ontologies in an unambiguous language with analytical and constructive features. Specifically, we apply categorical logic and model theory, based upon viewing an ontology as a sub-category of a category of theories expressed in a formal logic. In addition to providing mathematical rigor, this approach has several advantages. It allows the incremental analysis of ontologies by basing them in an interconnected hierarchy of theories, with an operation on the hierarchy that expresses the formation of complex theories from simple theories that express first principles. Another operation forms abstractions expressing the shared concepts in an array of theories. The use of categorical model theory makes possible the incremental analysis of possible worlds, or instances, for the theories, and the mapping of instances of a theory to instances of its more abstract parts. We describe the theoretical approach by applying it to the semantics of neural networks.     

Development of category formation for faces differing by age in 9‐ to 12‐month‐olds: An effect of experience with infant faces

We examined category formation for faces differing in age in 9‐ and 12‐month‐olds, and the influence of exposure to infant faces on such ability. Infants were familiarized with adult or infant faces, and then tested with a novel exemplar from the familiarized category paired with a novel exemplar from a novel category (Experiment 1). Both age groups formed discrete categories of adult and infant faces, but exposure to infant faces in everyday life did not modulate performance. The same task was conducted with child versus infant faces (Experiment 2). Whereas 9‐month‐olds preferred infant faces after familiarization with child faces, but not child faces after familiarization with infant faces, 12‐month‐olds formed discrete categories of child and infant faces. Moreover, more exposure to infant faces correlated with higher novel category preference scores when infants were familiarized with infant faces in 12‐month‐olds, but not 9‐month‐olds. The 9‐month‐old asymmetry did not reflect spontaneous preference for infant over child faces (Experiment 3). These findings indicate that 9‐ and 12‐month‐olds can form age‐based categories of faces. The ability of 12‐month‐olds to form separate child and infant categories suggests that they have a more exclusive representation of face age, one that may be influenced by prior experience with infant faces.     

双任务并存条件下的信息提取

将短时记忆再认与长时记忆范畴判断两类不同性质的信息提取任务相并列,探讨了双任务条件下的信息提取过程是如何进行的。实验结果表明,双任务并存时,ｎｏ反应的总平均反应时不等于两种任务单独进行时各自ｎｏ反应的平均反应时之和（减去一次视觉动作反应时后）,而是与其中一个较后完成的过程的ｎｏ反应平均反应时相近。因此推断双任务并存时,信息提取过程不是完成一个再进行另一个的系列加工过程,而是二者同时平行加工的过程。