A decentralized computer network for supervision of multiple psychological laboratories

The computer network described was designed to optimize the use of a number of independent minicomputers as a single integrated system for process control of several research laboratories. The implementation of the network required both the development of a special purpose interprocessor interface and the design of a software support system to direct network operations. The network was designed according to the familiar “star” configuration, with the exception that the central computer in the star does not exercise exclusive supervisory control over the system. Rather, each computer on the system “sees” the central computer as a peripheral similar in characteristics to a medium speed I/O device. This design allows each computer to serve not only as a node in the network, but also as an entirely independent process controller.     

The Ornstein-Uhlenbeck model for decision time in cognitive tasks: An example of control of nonlinear network dynamics

The Ornstein-Uhlenbeck (OU) model for human decision-making has been successfully applied to account for response accuracy and response time (RT) data in recent two-choice decision models. A variant of the OU model is shown to arise from the response dynamics of a nonlinear network consisting of randomly connected neural processing units. When feedback control of the network is effected by the stimulus onset, the average network response is an autocorrelated random signal satisfying the stochastic differential equation for the OU process. An alternative, more general, stimulus detection procedure is proposed which involves the use of an adaptive Kalman filter process to track any temporal change in autoregressive parameters. The predicted decision time distributions suggest that both the OU and the Kalman filter processes can serve as alternative models for RT data in experimental tasks. Received: 15 October 1998 / Accepted: 27 May 1999     

Investigation of psycho-physiological interactions between patient and therapist during a psychodynamic therapy and their relation to speech using in terms of entropy analysis using a neural network approach

In the present contribution we investigate in an exemplary single-case study the behavior of psycho-physiological variables in psychotherapy sessions. The values are measured continously during a single session at the same time for both patient and therapist. The analysis of the data is done using an artificial neural network approach for non-linear principal component analysis and faithful data representation/visualization and compression required for subsequent process analysis. The used network (growing self-organizing map, GSOM) thereby uses a kernel smoothing for improved data density estimation. In this way, we are able to generate an entropy model of psycho-physiological variability detecting emotionally instable phases during the therapy process. We relate our finding to results obtained by speech analysis of the therapy sessions according to the cycle model invented by Mergenthaler. Thus, we get preliminary suggestions how psycho-physiological reactions are related to the therapeutic process.     

An approach to the problem of meaning: Semantic networks

An approach to the problem of meaning through the postulation of semantic networks is presented. Subjects generated them for ten concrete and ten abstract nouns with two different procedures. Comparisons were made between the semantic network and the set of associations given to each concept. Finally, both the concrete concepts' and the abstract concepts' networks were compared. It was suggested that a form of meaning is given by the semantic network of the concept, by a reconstructive memory process.     

Language comprehension vs. language production: age effects on fMRI activation

Normal language acquisition is a process that unfolds with amazing speed primarily in the first years of life. However, the refinement of linguistic proficiency is an ongoing process, extending well into childhood and adolescence. An increase in lateralization and a more focussed productive language network have been suggested to be the neural correlates of this process. However, the processes underlying the refinement of language comprehension are less clear. Using a language comprehension (Beep Stories) and a language production (Vowel Identification) task in fMRI, we studied language representation and lateralization in 36 children, adolescents, and young adults (age 6-24 years). For the language comprehension network, we found a more focal activation with age in the bilateral superior temporal gyri. No significant increase of lateralization with age could be observed, so the neural basis of language comprehension as assessed with the Beep Stories task seems to be established in a bilateral network by late childhood. For the productive network, however, we could confirm an increase with age both in focus and lateralization. Only in the language comprehension task did verbal IQ correlate with lateralization, with higher verbal IQ being associated with more right-hemispheric involvement. In some subjects (24%), language comprehension and language production were lateralized to opposite hemispheres.     

Menatal addition: A test of three verification models

Three explanations of adults’ mental addition performance, a counting-based model, a direct-access model with a backup counting procedure, and a network retrieval model, were tested. Whereas important predictions of the two counting models were not upheld, reaction times (RTs) to simple addition problems were consistent with the network retrieval model. RT both increased with problem size and was progressively attenuated to false stimuli as the split (numerical difference between the false and correct sums increased. For large problems, the extreme level of split (13) yielded an RT advantage for false over true problems, suggestive of a global evaluation process operating in parallel with retrieval. RTs to the more complex addition problems in Experiment 2 exhibited a similar pattern of significance and, in regression analyses, demonstrated that complex addition (e.g., 14+12=26) involves retrieval of the simple addition components (4+2=6). The network retrieval/decision model is discussed in terms of its fit to the present data, and predictions concerning priming facilitation and inhibition are specified. The similarities between mental arithmetic results and the areas of semantic memory and mental comparisons indicate both the usefulness of the network approach to mental arithmetic and the usefulness of mental arithmetic to cognitive psychology.     

Redintegration and Response Suppression in Serial Recall: A Dynamic Network Model

This article presents a dynamic network model of redintegration and response suppression. Redintegration is the process that disambiguates partially retrieved memorial information into an overt response, and response suppression renders retrieved items temporarily unavailable for further report. Most models of serial recall assume the presence of both processes, but few explain how they are performed. Exploration of the network revealed that it can predict recency in serial recall of lists of varying lengths, the pattern of the associated transposition, omission, intrusion, and repetition errors, and the temporal dynamics of retrieval. The network thus augments any existing model of serial recall that assumes a distributed vector representation but does not specify the processes underlying redintegration and response suppression.     

共情的毕生发展:一个双过程的视角

共情中包含情绪和认知两种加工过程,二者有着不同的发展轨迹和机制。其中情绪共情是一种与生俱来的能力,从婴儿期直到成年期呈现下降趋势,到老年阶段有所上升,呈现出U形发展轨迹。其发展可能是由于镜像神经元储存的共享表征日益丰富和精细。认知共情发展相对较晚,从出生直到成年期呈现上升趋势,在老年阶段逐渐下降,呈现倒U形的发展轨迹。其发展是随着颞顶联合区和前额叶皮层成熟、个体区分自我他人和抑制自我中心能力增强而逐渐发展的。只有分别考察两个成分的发展才能了解共情发展的本质和机制。     

A Network Perspective on the Processes of Empowered Organizations

Organizational empowerment is a multi-faceted concept that involves processes occurring both within and between organizations that facilitate achievement of their goals. This paper takes a closer look at three interorganizational processes that lead to empowered organizations: building alliances, getting the word out, and capturing others’ attention. These processes are located within the broader nomological network of empowerment and organizational empowerment, and are linked to particular patterns of interorganizational relationships that facilitate organizations’ ability to engage in them. A new network-based measure, γ-centrality, is introduced to capture the particular network structure associated with each process to be assessed. It is demonstrated first in a hypothetical organizational network, then applied to take a closer look at organizational empowerment in the context of a coordinating council composed of human service agencies. The paper concludes with a discussion of the implications of relationships between these processes, and the potential for unintended consequences in the empowerment of organizations.     

Modernization and the logic of interorganizational networks

In this paper an attempt is made to widen the perspective under which interorganizational networks are generally seen. It is argued that both in the economy and in policy making, network phenomena are in fact becoming more prominent. This is linked to functional differentiation, a core process of societal modernization, which implies the existence of partly autonomous societal subsystems. Their emergence is closely connected with the ascendance of formal organizations, which in turn enjoy a certain measure of autonomy. In this structural context, interorganizational network following a logic of negotiation, which extends to “constitutional” issues can provide a solution to coordination problems typical of modern societies. Her research interests include sociological macro-theory, comparative social and political research, organizational and administrative sociology, and sociology of technology.     

Competition and recency in a hybrid network model of syntactic disambiguation

The competitive attachment model of human parsing is a hybrid connectionist architecture consisting of a distributed feature passing method for establishing syntactic relations within the network, and a numeric competition mechanism for resolving ambiguities, which applies to all syntactic relations. Because the approach employs a uniform mechanism for establishing syntactic relations, and a single competition mechanism for disambiguation, the model can capture general behaviors of the human parser that hold across a range of syntactic constructions. In particular, attachment and binding relations are similarly processed and are therefore subject to the very same influences of disambuguation and processing over time. An important influence on the competitive disambiguation process is distance within the network. Decay of numeric activation, along with distributed feature passing through the network structure, has an unavoidable effect on the outcome of attachment and binding competitions. Inherent properties of the model thus lead to a principled explanation of recency effects in the human parsing of both attachment and filler/gap ambiguities.     

Feedback related brain activity in a gambling task: A temporal analysis of EEG correlates

Lucchiari, C. & Pravettoni, G. (2010). Feedback related brain activity in a gambling task: A temporal analysis of EEG correlates. Scandinavian Journal of Psychology 51, 449–454. The pattern of neural correlates of feedback processing has been the subject of a number of studies, using both neuroimaging and electrophysiological recordings. A complex functional network was found to be activated after a choice in order to process a feedback and sustain an adaptive behavior. However, many aspects of this network are still unclear and further research is needed to better understand this process. We conducted an EEG study using a simple gambling task. Twenty three subjects participated to the study. We analyzed both EEG power spectrum and ERP components evoked by presentation of a feedback signal (money gain or loss) during a simple gambling task. Our data confirmed that a negative ERP component is present about 270 ms after feedback, particularly relevant following a choice with negative outcome. Furthermore, the theta and delta oscillatory activity seem to be correlated to a dynamic decision‐making process within specific cortical networks. In particular, theta activity showed a valence dependent development between 150 and 350 ms post‐feedback onset. Differently from previous studies (Cohen, Elger & Ranganath, 2007; Marco‐Pallares, Cucurell, Cunillera et al., 2008), we did not find any valence effect in beta range. However, our data are consistent with Christie and Tata (2009) , probably due to the nature of the gambling task used in both studies. In conclusion, our data, in line with some prior findings showed that the feedback related response is correlated to a complex pattern of cortical activation probably mediated by theta and delta activity.     

Labeling and the Adoption of a Deviant Status

This study explores the role of labeling in the process by which individuals come to perceive their personal indebtedness as indicative of a deviant status. Particular attention is paid to the respective roles one's informal social network and self-help groups play in promoting the transformation from a non-deviant to deviant status. In-depth interviews with a convenience and snowball sample of 46 members of Debtors Anonymous (DA), was supplemented with contextual data from a DA newsletter and other print materials. The theoretical implications for both labeling theory and identity change processes are discussed.     

社会网络视角下的同伴关系与心理健康

近年来, 从社会网络视角考察同伴关系与心理健康的相互作用正成为发展心理学和健康心理学研究的热点。研究者多借助整体网和纵向数据, 通过两种作用机制, 即选择过程(selection process) (强调心理和行为变量对社会网络和同伴关系的影响, 如关系的形成、维持和解除)和影响过程(influence process) (强调社会网络和同伴关系对心理和行为变量的影响), 来分析同伴关系与心理健康协同演进的动态过程。实证研究关注的领域集中在青少年健康风险行为(如吸烟、喝酒、药物滥用)和情绪问题(如抑郁、焦虑、孤独感)。未来研究应该注重拓展社会网络的类型和样本、加强理论建构、增加对积极心理和消极关系的研究, 并有望在互联网领域及社会网络的生物学基础等方面取得进展。     

Substituting the forest for the trees: social networks and the prediction of romantic relationship state and fate.

This research focused on perceptions held by heterosexual couples' friendship network concerning the couple's relationship. In a three-wave longitudinal study, we examined (a) whether these perceptions were similar to the couple's views of the relationship, (b) whether they predicted current relationship state and future fate, and (c) how they compared with the couple's perceptions in predicting fate. Consistent with within-dyad idealization, results from a North American sample indicated that network perceptions of relationship state were significantly more negative than those held by a couple. Although both the couples' and the total networks' perceptions predicted fate, friends of the female couple member were particularly successful at predicting relationship dissolution. An examination of possible mechanisms whereby friends may come to possess particularly predictive perceptions supported the role of couple-disclosure in this process.     

被动性社交网站使用与自尊和自我概念清晰性:有调节的中介模型

为探讨被动性社交网站使用对自尊和自我概念清晰性的影响及其作用机制,在社会比较理论和乐观的保护性作用的视角下,采用问卷法对1208名大学生进行调查。结果表明:(1)被动性社交网站使用对自尊没有直接的预测作用,但能通过上行社会比较的中介作用负向预测自尊;(2)被动性社交网站使用不仅能够直接负向预测自我概念清晰性,还能通过上行社会比较的中介作用对其产生影响;(3)上行社会比较的中介效应受到乐观的调节,相对于乐观水平高的个体,间接效应在乐观水平低的个体中更为显著;(4)此外,在乐观水平高的个体中,上行社会比较对自尊的负向预测作用以及上行社会比较在被动性社交网站使用与自尊之间的中介作用都不显著,但是上行社会比较对自我概念清晰性的负向预测作用以及上行社会比较在被动性使用与自我概念清晰性之间的中介作用仍然显著。研究结果有助于揭示被动性社交网站使用行为对自尊以及自我概念清晰性的影响及其作用机制,对维护与促进个体自我概念健康发展有一定启示意义。     

Individual treatment needs in the therapeutic environment of a special school

This paper is about the therapeutic process and technique in psychotherapy with deprived children. The need to monitor as a coherent whole both the broader environmental setting and the movements of the transference is illustrated by clinical case material. It is concluded that a) the child's attack on the setting and therapeutic relation has to be picked up and contained both in the transference relationship and in the broader network by the team-work, and b) by carefully following the transference, the child can be helped to a dependent relationship inside which feelings can be made sense of, thus furthering resilience by achieving a better ability to separate good qualities of the self from self-destructive, anti-social aspects of the internal object.     

Neural decoding of positive and negative self-knowledge

A prevalent explanation for the self-reference effect is that self-knowledge is represented by a set of specific brain regions, including anterior cingulate cortex (ACC), middle frontal gyrus (MFG), superior temporal gyrus (STG), precuneus, and inferior parietal lobule (IPL), which enables self-knowledge to be processed in priority than other-knowledge. However, the conventional univariate activation analysis adopted by previous studies could only detect the activation of separate brain regions. The current study mainly investigated the global neural patterns of self-knowledge (relative to other-knowledge) by the multivariate pattern analysis (MVPA). Results obtained in Experiments 1 and 2 were highly consistent, indicating that the core self-network (mainly the ACC) and salience network (mainly the insula) could distinguish self-knowledge from other-knowledge. Furthermore, the neural pattern of positive self-knowledge mainly included the ventral part of ACC, while the neural pattern of negative self-knowledge mainly included the ventral and dorsal parts of ACC and cognitive control network (dorsolateral prefrontal cortex: dlPFC). These findings suggest that the core self-network and salience network are specific to the neural process of self-knowledge. Moreover, both positive and negative self-knowledge are separately driven by different cognitive and neural characteristics.