Uncovering the richness of the stimulus: structure dependence and indirect statistical evidence

The poverty of stimulus argument is one of the most controversial arguments in the study of language acquisition. Here we follow previous approaches challenging the assumption of impoverished primary linguistic data, focusing on the specific problem of auxiliary (AUX) fronting in complex polar interrogatives. We develop a series of corpus analyses of child-directed speech showing that there is indirect statistical information useful for correct auxiliary fronting in polar interrogatives and that such information is sufficient for distinguishing between grammatical and ungrammatical generalizations, even in the absence of direct evidence. We further show that there are simple learning devices, such as neural networks, capable of exploiting such statistical cues, producing a bias toward correct AUX questions when compared to their ungrammatical counterparts. The results suggest that the basic assumptions of the poverty of stimulus argument may need to be reappraised.     

The large-scale structure of semantic networks: statistical analyses and a model of semantic growth

We present statistical analyses of the large-scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale-free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high-dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small-world statistics and power-law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks.     

The Influence of Positive Affect on Intrinsic and Extrinsic Motivation: Facilitating Enjoyment of Play,Responsible Work Behavior,and Self-Control

Two experiments demonstrated that positive affect fosters intrinsic motivation, as reflected by choice of activity in a free-choice situation and by rated amount of enjoyment of a novel and challenging task, but also promotes responsible work behavior in a situation where the work needs to be done. Where there was work that needed to be done, people in the positive-affect condition reduced their time on the enjoyable task, successfully completed the work task, but also spent time on the more enjoyable task. These results indicate that positive affect does foster intrinsic motivation, and enjoyment and performance of enjoyable tasks, but not at the cost of responsible work behavior on an uninteresting task that needs to be done. Implications for the relationship between positive affect and such aspects of self-regulation as forward-looking thinking and self-control are discussed.

蛋白质组学与神经科学:从蛋白质到网络

多蛋白质信号复合物在所有细胞中都很重要,它们在脑内信息处理也有着重要作用。质谱、双向凝胶电泳、蛋白亲和技术、高通量的免疫组化方法和蛋白质组信息学都蛋白质组学研究的主要手段。应用蛋白质组学方法可以研究多蛋白信号复合的功能,多样性与组成的动态变化。因此,蛋白质组学发展使得人们从单个蛋白质的研究上升到对蛋白质网络的研究。蛋白质组学研究将为神经与精神疾病的诊断技术与治疗手段提供一条新的道路。     

A learning rule that explains how rewards teach attention

Many theories propose that top-down attentional signals control processing in sensory cortices by modulating neural activity. But who controls the controller? Here we investigate how a biologically plausible neural reinforcement learning scheme can create higher order representations and top-down attentional signals. The learning scheme trains neural networks using two factors that gate Hebbian plasticity: (1) an attentional feedback signal from the response-selection stage to earlier processing levels; and (2) a globally available neuromodulator that encodes the reward prediction error. We demonstrate how the neural network learns to direct attention to one of two coloured stimuli that are arranged in a rank-order. Like monkeys trained on this task, the network develops units that are tuned to the rank-order of the colours and it generalizes this newly learned rule to previously unseen colour combinations. These results provide new insight into how individuals can learn to control attention as a function of reward contingency.     

Priming Effects on Cooperative Behavior in Social Dilemmas: Considering the Prime and the Person

We test whether people with a relatively more intrinsic vs. extrinsic value orientation (RIEVO) are particularly likely to enact cooperative behavior in resource dilemmas when they are primed with relatedness goals. In Study 1, high RIEVO participants primed with relatedness exhibited more restrained fishing behavior in a resource dilemma than their unprimed counterparts or participants low in RIEVO. Study 2 replicated this effect and further showed that the prime must signal the possibility of satisfying a valued goal (relatedness satisfaction) in order to elicit the value-consistent behavior. We discuss these results in the context of recent process models of goal priming, and also discuss how these findings contribute to our understanding of cooperative behavior and the predictive power of value constructs more broadly.     

When Birds of a Feather Flock Together: The Role of Core-Self Evaluations and Moral Intensity in the Relationship Between Network Unethicality and Unethical Choice

Leveraging perspectives from social cognitive theory, the attention-based view, and social networks literatures, we tested the relationship between unethical choice and network unethicality, which we define as respondents’ perceptions of their peer advisors’ unethical choices. Although social cognitive theory predicts that perceptions of peer advisor unethical choice are positively associated with unethical choice, we theorize that the nature of this relationship depends on the personality of the actor (core self-evaluation) and the situation (moral intensity). Results from a lagged study suggest that individual and situational variables may act as key buffers to the adverse impact of unethical social influence on ethical choice. Strengths, limitations, and directions for future research are discussed.     

Past and future of near-infrared spectroscopy in studies of emotion and social neuroscience

Near-infrared spectroscopy (NIRS) enables the non-invasive measurement of spatiotemporal characteristics of brain function, which has received increasing attention during the last years. This new birth of interest is attributable to unique characteristics of the NIRS technique, which may be summarised in certain technical advantages: its experimental and ecological validity and the extension of application to clinical samples. This paper presents the main applications of the NIRS technique that measures changes in brain activation to study emotions and social neuroscience field. In the first part of this paper, we discuss the basic principles, strengths, and limitations of NIRS for the study of principal emotional functions. In the second part, we focus on the actual applications of NIRS in emotional and social research. In this regard, first, we consider some main topics of emotional contexts, such as visual (facial expression) and auditory cues recognition, and social neuroscience field. Second, we discuss the utility to apply NIRS simultaneously to other techniques (electroencephalography, Transcranial Magnetic Stimulation, and functional Magnetic Resonance Imaging) to improve the intrinsic power of such measures. Third, we consider the possible applications of NIRS devices to study specific emotion-related functions (such as connectivity and plasticity applications).     

Contextualizing the Psychosocial Well‐being of Military Members and Their Partners: The Importance of Community and Relationship Provisions

Evidence of the impact of communities has been documented for a variety of individual and relational outcomes, including mental and physical health as well as the quality of romantic and parent–child relationships. The military represents a rather unique work context; in that, it is generally considered a lifestyle with a distinct culture and community. Yet, military families are also members of their broader, comprehensive community. Drawing from the social organizational theory of action and change (SOC) (Mancini & Bowen, 2013), and relationship provisions theory (Weiss, 1969) and utilizing a sample of 266 active duty military families, this study examined connectedness with the military community and the broader, comprehensive community. A dyadic model was evaluated whereby each partner's perspective of their comprehensive and military community was hypothesized to influence their own psychosocial well‐being as well as their partner's psychosocial well‐being. The role of relationship provisions (that is, having relationship needs met) as a mechanism linking community connections to psychosocial well‐being was also examined. Overall, the findings supported the hypothesized model, particularly for intra‐individual effects and military members. Findings emphasize the importance of considering what is gained from connections within a community rather than a focus solely on the connections themselves.     

Social Network Characteristics,Social Support,and Cigarette Smoking among Asian/Pacific Islander Young Adults

Cigarette smoking may be one of the factors contributing to the high levels of cancer‐related mortality experienced by certain Asian/Pacific Islander (A/PI) subgroups (e.g., Native Hawaiian). Given the collectivist cultural orientation attributed to A/PI groups, social strategies are recommended for substance abuse or smoking cessation treatment among A/PI. However, research examining how social network characteristics and social support relate to smoking across A/PI subgroups has been lacking. This study investigated the associations between social network characteristics (e.g., size, composition), perceived social support, and recent cigarette use across Native Hawaiian, Filipino, and East Asian (e.g., Japanese, Chinese) young adults (18–35 year old). Cross‐sectional, self‐report data were collected from N = 435 participants (M age = 25.6, SD = 8.3; 61% women). Ethnic differences were found in a number of pathways linking social network characteristics, perceived social support, and cigarette smoking. Larger network size was strongly associated with higher perceived social support and lower recent cigarette smoking among Native Hawaiians but not Filipinos or East Asians. Higher perceived social support was associated with lower recent smoking among East Asians and Filipinos but not Native Hawaiians. Implications are discussed with regard to smoking prevention and cessation among A/PI.