汉字识别的时间进程：来自字谜任务的ERP证据

通过“学习-测试-判断”的三阶段实验范型, 采用事件相关电位（ERP）技术探讨了猜谜任务中对谜底答案（单个汉字）识别的脑内时程动态变化。结果发现：语义识别与字形识别下,汉字刺激均诱发了明显的N1、P2和N2成分,其中语义识别下的P2波幅表现为更加正性,可能与汉字语义的早期加工有关;随后,300-400ms内,语义识别比字形识别诱发了一个更加正性的ERP成分,该成分可能属于P300成分,反映了对汉字语义的进一步整合加工;最后,500-600ms内,语义识别比字形识别同样诱发了一个更加正性的ERP成分,可能反     

Semantic priming in French children with varying comprehension skills

Semantic priming was analysed in two groups of French children contrasted on comprehension skills with a visual lexical-decision task using a long SOA (800 ms). Two relation types between related primes and targets were examined: pure semantic relation (categorical vs. functional), and lexical association strength (strong vs. weak). Targets were preceded by related, unrelated, and neutral primes. Skilled comprehenders showed semantic priming only for category-related words, whatever their association strength, and without any evidence of an associative boost. Less-skilled comprehenders also showed semantic priming for category-related words, irrespective of their association strength, but with an indication of an associative boost. They also displayed semantic priming for function-related awords that are strongly associated, but not for those that are weakly associated. These results are discussed within the theoretical frame proposed by Plaut and Booth (2000 Plaut, D. C. and Booth, J. R. 2000. Individual and developmental differences in semantic priming: Empirical and computational support for a single-mechanism account of lexical processing. Psychological Review, 4: 786–823.  [Google Scholar]).     

Criticism of the Theory of Motivation

The theory of motivation is a theory which takes the executora＇s motivation as the basis of moral judgment. One presupposition of the theory is that motivation can be a common object of understanding. However, motivation exists only in the heart of the executor, and cannot be known exactly by others, so motivation cannot be perceived like a common object, and thus, logically, cannot be the basis of moral judgment. Even if the executor＇s motivation is accepted by others and turned into a common object, the motivation still cannot become the valid basis of a moral judgment. This is the dilemma of the theory of motivation. In practice, the dilemma appears as follows： if one insists on the theory of motivation, one can be led to the result that people do evil with good intentions. However, just because motivation cannot be the basis of moral judgment does not mean that motivation is of no significance. Good motivation is always better than evil motivation. Therefore, in moral education we should carry out motivation education and teach people to strive to have good motivations for their behavior. This is the value of motivation theory.     

The relationship between face recognition ability and socioemotional functioning throughout adulthood

The relationship between face recognition ability and socioemotional functioning has been widely explored. However, how aging modulates this association regarding both objective performance and subjective-perception is still neglected. Participants, aged between 18 and 81 years, performed a face memory test and completed subjective face recognition and socioemotional questionnaires. General and social anxiety, and neuroticism traits account for the individual variation in face recognition abilities during adulthood. Aging modulates these relationships because as they age, individuals that present a higher level of these traits also show low-level face recognition ability. Intriguingly, the association between depression and face recognition abilities is evident with increasing age. Overall, the present results emphasize the importance of embedding face metacognition measurement into the context of these studies and suggest that aging is an important factor to be considered, which seems to contribute to the relationship between socioemotional and face-cognitive functioning.     

A visual embedding for the unsupervised extraction of abstract semantics

Vector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector representations of images. For that purpose we define a methodology to obtain large, sparse vector representations of image classes, and generate vectors through the state-of-the-art deep learning architecture GoogLeNet for 20 K images obtained from ImageNet. We first evaluate the resultant vector-space semantics through its correlation with WordNet distances, and find vector distances to be strongly correlated with linguistic semantics. We then explore the location of images within the vector space, finding elements close in WordNet to be clustered together, regardless of significant visual variances (e.g., 118 dog types). More surprisingly, we find that the space unsupervisedly separates complex classes without prior knowledge (e.g., living things). Afterwards, we consider vector arithmetics. Although we are unable to obtain meaningful results on this regard, we discuss the various problem we encountered, and how we consider to solve them. Finally, we discuss the impact of our research for cognitive systems, focusing on the role of the architecture being used.     

Visual knowledge discovery and machine learning for investment strategy

Knowledge discovery is an important aspect of human cognition. The advantage of the visual approach is in opportunity to substitute some complex cognitive tasks by easier perceptual tasks. However for cognitive tasks such as financial investment decision making this opportunity faces the challenge that financial data are abstract multidimensional and multivariate, i.e., outside of traditional visual perception in 2D or 3D world. This paper presents an approach to find an investment strategy based on pattern discovery in multidimensional space of specifically prepared time series. Visualization based on the lossless Collocated Paired Coordinates (CPC) plays an important role in this approach for building the criteria in the multidimensional space for finding an efficient investment strategy. Criteria generated with the CPC approach allow reducing/compressing space using simple directed graphs with beginnings and the ends located in different time points. The dedicated subspaces constructed for time series include characteristics such as Bollinger Band, difference between moving averages, changes in volume etc. Extensive simulation studies have been performed in learning/testing context. Effective relations were found for one-hour EURUSD pair for recent and historical data. Also the method has been explored for one-day EURUSD time series n 2D and 3D visualization spaces. The main positive result is finding the effective split of a normalized 3D space on 4 × 4 × 4 cubes in the visualization space that leads to a profitable investment decision (long, short position or nothing). The strategy is ready for implementation in algotrading mode.     

The Case Study of Jacob: Childhood Sexual Abuse and the Limitations of the Holding Environment

Childhood sexual abuse and trauma influence relational development in significant ways. Notable among them are the development of a patient's internal object world, fantasies, and sense of self. Dynamic formulations and holding techniques are used to identify, process, and alter fractured relational dynamics. However, the use of such techniques may also influence a patient's narrative process, pulling them away from the realities of their life as lived. Using the case study method, focusing specifically on the patient's narrative development, this article examines the impact of analytic framing on a patient's experience of child sexual abuse and trauma.     

Fuzzy system for intelligent word recognition using a regular grammar

We present a new approach for off-line intelligent word recognition based on a fuzzy classification model. First, we segment a word into its single characters, and label each pixel as vertical or as horizontal so that we can group all the pixels into vertical or horizontal strokes. Then, we use dynamic zoning to obtain the locations of the connections between the vertical strokes – which are the main strokes – and the horizontal ones. These features let us construct the representative string of a character using a regular grammar and, subsequently, use a Deterministic Finite Automaton to check them out. To accomplish the recognition, we use a Fuzzy Lattice Reasoning classifier. The combination of the representative strings and the fuzzy classifier provides promising performance rates.     

Age of acquisition ratings score better on criterion validity than frequency trajectory or ratings “corrected” for frequency

From the very first studies on the effect of age of acquisition (AoA) on word processing, researchers have validated their AoA ratings by correlating them with other, more objective indices of the age at which children know words. Still, the ratings have been questioned, and alternative measures have been proposed. Two of these are differences in word frequency between language directed at young children and language directed at older children (frequency trajectory) and AoA ratings corrected for word frequency. Surprisingly, the criterion validity of these alternative measures has never been established, partly because one of the validation criteria (the age at which children are able to name pictures) has been questioned. In the present study, four databases are used that aimed to establish the order of English word acquisition, going from the very first words learned to words taught in secondary education. The criteria for word knowledge included word production, multiple-choice questions about the meaning of the words, and teacher judgments about when words should be taught in the school curriculum. For all databases, the frequency trajectory correlated substantially less with the criterion than AoA ratings. For all but one, the same was true for AoA ratings “corrected” for other variables. On the basis of these findings, researchers should be cautious interpreting null effects with the “improved” variables as evidence against a genuine AoA effect.