气质与眼动控制的关系

本研究采用眼动追踪和问卷测量相结合的方法,对气质类型和眼动控制的关系进行了探讨。眼动实验为2（眼跳方向：朝向眼跳和反向眼跳）X 2（任务类型：重复眼跳和转换眼跳）组内设计;气质分数用陈会昌编制的《气质类型测试量表》测量。结果表明,气质分数与眼动特性之间存在显著的相关性,不同气质类型（神经活动类型）在抑制过程和任务重置过程中表现出不同的相互作用模式。具体而言,神经活动强度是一个基本维度,它与认知控制的抑制功能和转换功能都有着密切联系;而神经活动的灵活性和平衡性则分别是转换功能和抑制功能的重要条件。     

Differences in Friendship Networks and Experiences of Cyberbullying Among Korean and Australian Adolescents

ABSTRACT

Cyberbullying is one of the negative consequences of online social interaction. The digital environment enables adolescents to engage in online social interaction beyond the traditional physical boundaries of families, neighborhoods, and schools. The authors examined connections to friendship networks in both online and offline settings are related to their experiences as victims, perpetrators, and bystanders of cyberbullying. A comparative face-to-face survey of adolescents (12–15-year-olds) was conducted in Korea (n = 520) and Australia (n = 401). The results reveal that online networks are partially related to cyberbullying in both countries, showing the size of social network sites was significantly correlated with experience cyberbullying among adolescents in both countries. However there were cultural differences in the impact of friendship networks on cyberbullying. The size of the online and offline networks has a stronger impact on the cyberbullying experiences in Korea than it does in Australia. In particular, the number of friends in cliques was positively related to both bullying and victimization in Korea.     

Toward a Philosophy of Blockchain: A Symposium: Introduction

This article introduces the symposium “Toward a Philosophy of Blockchain,” which provides a philosophical contemplation of blockchain technology, the digital ledger software underlying cryptocurrencies such as bitcoin, for the secure transfer of money, assets, and information via the Internet without needing a third‐party intermediary. The symposium offers philosophical scholarship on a new topic, blockchain technology, from a variety of perspectives. The philosophical themes discussed include mathematical models of reality, signification, and the sociopolitical institutions that structure human life and interaction. The symposium also investigates the metaphilosophical theme of how to create a philosophy of anything, specifically a new topic such as blockchain technology. Repeated themes are identified, in all areas of philosophical inquiry (ontology, epistemology, and axiology), and conceptual resources are elaborated to contribute to a philosophical understanding of blockchain technology. Thus, philosophy as a metaphilosophical approach is shown to be able to provide an understanding of the conceptual, theoretical, and foundational dimensions of novelty and emergence in the world, with a particular focus on blockchain technology.     

The P600 in Implicit Artificial Grammar Learning

The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some have shown a syntax‐related P600 component, but it has not been ruled out that the AGL P600 effect is a response to surface features (e.g., subsequence familiarity) rather than the underlying syntax structure. Therefore, in this study, we controlled for the surface characteristics of the test sequences (associative chunk strength) and recorded the EEG before (baseline preference classification) and after (preference and grammaticality classification) exposure to a grammar. After exposure, a typical, centroparietal P600 effect was elicited by grammatical violations and not by unfamiliar subsequences, suggesting that the AGL P600 effect signals a response to structural irregularities. Moreover, preference and grammaticality classification showed a qualitatively similar ERP profile, strengthening the idea that the implicit structural mere‐exposure paradigm in combination with preference classification is a suitable alternative to the traditional grammaticality classification test.     

Against the “system” module

Modularity is a fundamental doctrine in the cognitive sciences. It holds a preeminent position in cognitive psychology and generative linguistics, as well as a long history in neurophysiology, with roots going all the way back to the early nineteenth century. But a mature field of neuroscience is a comparatively recent phenomenon and has challenged orthodox conceptions of the modular mind. One way of accommodating modularity within the new framework suggested by these developments is to go for increasingly soft versions of modularity. One such version, which I call the “system” view, is so soft that it promises to meet practically any challenge neuroscience can throw at it. In this paper, I reconsider afresh what we ought to regard as the sine qua non of modularity and offer a few arguments against the view that an insipid “system” module could be the legitimate successor of the traditional notion.     

Friendships Lost: The Social Consequences of Violent Victimization

Few studies have examined the impact of violent victimization on friendship networks. This study used 2 waves of data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to examine the effects of violent victimization on number of peer- and self-reported friendships. Guided by stigma theory (Goffman, 1963), fixed-effect regression models controlling for depression, delinquency, substance use, and school engagement were completed to predict changes in number of friends following victimization. Consistent with the theory, results indicate that experiencing violent victimization (e.g., jumped, stabbed, shot at) was associated with a decrease in number of friends. These effects were magnified for females and for individuals with a greater number of depressive symptoms. These results were consistent even when models were run separately for each individual type of victimization. Treatment and prevention implications are discussed.     

Enabling robotic social intelligence by engineering human social-cognitive mechanisms

For effective human-robot interaction, we argue that robots must gain social-cognitive mechanisms that allow them to function naturally and intuitively during social interactions with humans. However, a lack of consensus on social cognitive processes poses a challenge for how to design such mechanisms for artificial cognitive systems. We discuss a recent integrative perspective of social cognition to provide a systematic theoretical underpinning for computational instantiations of these mechanisms. We highlight several commitments of our approach that we refer to as Engineering Human Social Cognition. We then provide a series of recommendations to facilitate the development of the perceptual, motor, and cognitive architecture for this proposed artificial cognitive system in future work. For each recommendation, we highlight their relation to the discussed social-cognitive mechanisms, provide the rationale for these recommendations and potential benefits, and detail examples of associated computational formalisms that could be leveraged to instantiate our recommendations. Overall, the goal of this paper is to outline an interdisciplinary and multi-theoretic approach to facilitate the design of robots that will one day function, and be perceived, as socially interactive and effective teammates.     

Shared Moral and Spiritual Development Among Human Persons and Artificially Intelligent Agents

Technical advances in artificial intelligence make somewhat likely the possibility of robotic or software agents exhibiting or extending human-level intelligence within a few decades. Theological investigation can help meet significant research goals in artificial intelligence by orienting the development of agent communication and moral reasoning toward a shared moral and spiritual development of human persons and intelligent agents. In particular, Josiah Royce’s Loyalty-to-Loyalty initiates a moral stance within which humans and intelligent agents can develop constructive ethical frameworks and his semiotic philosophy of community can guide the development and functioning of an agent’s interpretive processes and can model shared spiritual formation.     

产后抑郁的预测因素及神经生理机制

产后抑郁是产后时期出现的抑郁症状,对女性及其后代甚至家人都会造成严重的负面影响。产后抑郁稳定的预测因素是遗传基因、依恋风格、童年负性生活经历和激素水平的变化;涉及的脑区和神经网络集中在前额叶皮层、扣带回、杏仁核和海马等脑区及相应神经网络。未来应在探索综合的预测模型、男性伴侣的对照试验和基于大脑可塑性特征的干预模式等方面展开深入研究。     

音乐表演训练对神经可塑性的影响:元分析研究

音乐表演是人类最复杂和精细的技能之一。通过激活似然性评估元分析,对音乐表演训练所诱发的神经可塑性进行探究。结果发现,音乐表演者与非音乐家在左侧小脑、双侧中央前回、双侧颞上回、左侧额下回、双侧顶下小叶以及右侧脑岛等脑区存在差异。这些脑区与听觉、运动以及多通道信息整合等加工有关。未来研究应从不同音乐表演训练诱发的神经适应性出发,进一步探究音乐表演训练与大脑可塑性之间的关联。