Who do students with mild disabilities nominate as cool in inclusive general education classrooms?

Examined the nominations that elementary students with mild disabilities made for peers they perceived as cool. The total sample was comprised of 948 students (496 girls, 452 boys) from the metropolitan Chicago area and North Carolina and included 107 (11.3%) students with mild disabilities. Overall, students with mild disabilities nominated prosocial and athletic peers who affiliate with students with mild disabilities. However, aggressive boys who are central in the social network were highly likely to view aggressive peers as cool. Results are discussed in relation to implications for social interventions for students with mild disabilities.     

Memory Maintenance

ABSTRACT— Change in the synaptic communication between neurons—known as synaptic plasticity—plays a key role in learning and memory. It is not yet clear, however, whether the properties of synaptic plasticity are sufficient to account for long-term-memory maintenance. Recent studies have revealed that synaptic plasticity can indeed persist for weeks or months, as might be expected of a long-term-memory mechanism. However, memories encoded by neural systems are not static; they continue to evolve as new learning occurs. Furthermore, neural-network modeling has shown that synapses must be able to reconfigure their connection strengths during new learning if old information is to be preserved. Recent tests confirm that synapses, once modified, retain their capacity for further modification, indicating that they can indeed operate in the manner predicted to be necessary for memory maintenance in a dynamic learning network.     

Mentalization, insightfulness, and therapeutic action The importance of mental organization

Continuing debates over the relative importance of the role of interpretation leading to insight versus the relationship with the analyst as contributing to structural change are based on traditional defi nitions of insight as gaining knowledge of unconscious content. This defi nition inevitably privileges verbal interpretation as self‐knowledge becomes equated with understanding the contents of the mind. It is suggested that a way out of this debate is to redefi ne insight as a process, one that is called insightfulness. This term builds on concepts such as mentalization, or theory of mind, and suggests that patients present with diffi culties being able to fully mentalize. Awareness of repudiated content will usually accompany the attainment of insightfulness. But the point of insightfulness is to regain access to inhibited or repudiated mentalization, not to specifi c content, per se. Emphasizing the process of insightfulness integrates the importance of the relationship with the analyst with the facilitation of insightfulness. A variety of interventions help patients gain the capacity to refl ect upon and become aware of the intricate workings of their minds, of which verbal interpretation is only one. For example, often it seems less important to focus on a particular confl ict than to show interest in our patients’ minds. Furthermore, analysands develop insightfulness by becoming interested in and observing our minds in action. Because the mind originates in bodily experience, mental functioning will always fl uctuate between action modes of experiencing and expressing and verbal, symbolic modes. The analyst's role becomes making the patient aware of regressions to action modes, understanding the reasons for doing so, and subordinating this tendency to the verbal, symbolic mode. All mental functions work better and facilitate greater self‐regulation when they work in abstract, symbolic ways. Psychopathology can be understood as failing to develop or losing the symbolic level of organization, either in circumscribed areas or more ubiquitously. And mutative action occurs through helping our patients attain or regain the symbolic level in regard to all mental functions. Such work is best accomplished in the transference. The concept of transference of defense is expanded to all mental structure, so that transference is seen as the interpersonalization of mental structure. That is, patients transfer their mental structure, including their various levels of mentalizing, into the analytic interaction. The analyst observes all levels of the patient's mental functioning and intervenes to raise them to a symbolic one. At times, this will require action interpretations, allowing oneself to be pulled into an enactment with the patient that is then reprocessed at a verbal, symbolic level. Such actions are not corrective emotional experiences but are interpretations and confrontations of the patient's transferred mental organization at a level affectively and cognitively consistent with the level of communication. Nonetheless, the goal becomes raising the communication to a symbolic level as being able to refl ect symbolically on all aspects of one's mind with a minimum of restriction is the greatest guarantee of mental health.     

Are unsupervised neural networks ignorant? Sizing the effect of environmental distributions on unsupervised learning

Learning environmental biases is a rational behavior: by using prior odds, Bayesian networks rapidly became a benchmark in machine learning. Moreover, a growing body of evidence now suggests that humans are using base rate information. Unsupervised connectionist networks are used in computer science for machine learning and in psychology to model human cognition, but it is unclear whether they are sensitive to prior odds. In this paper, we show that hard competitive learners are unable to use environmental biases while recurrent associative memories use frequency of exemplars and categories independently. Hence, it is concluded that recurrent associative memories are more useful than hard competitive networks to model human cognition and have a higher potential in machine learning.     

小学语文和数学教师课堂信息加工能力的研究

本研究采用小学语文和数学视频教学录象为实验材料,以小学语文和数学教师为研究对象,运用反应时测量法探讨小学语文和数学教师对不同类型课堂信息的加工速度和辨别能力。研究结果表明:小学语文和数学教师处理课堂背景信息方面采用了相似的策略,忽略与课堂教学无关信息;语文和数学教师在处理课堂信息方面表现出明显的学科差异,语文教师更注重课堂活动的组织与课堂气氛的调节,数学教师强调学科内容教学本身的精确性;小学语文教师处理课堂活动信息的加工速度显著快于数学教师。本研究的结论对小学教师培训有一定的启示。     

Semantic boost on episodic associations: an empirically-based computational model

Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words more easily than unrelated words; this advantage increased linearly with repeated co-occurrence. Second, we developed a computational model, SEMANT, suggesting a possible mechanism for this semantic-episodic interaction. In SEMANT, episodic associations are implemented through lateral connections between nodes in a pre-existent self-organized map of word semantics. These connections are strengthened at each instance of concomitant activation, proportionally with the amount of the overlapping activity waves of activated nodes. In computer simulations SEMANT replicated the dynamics of associative learning in humans and led to testable predictions concerning normal associative learning as well as impaired learning in a diffuse semantic system like that characteristic of schizophrenia.     

Dynamic self-organization and early lexical development in children

In this study we present a self-organizing connectionist model of early lexical development. We call this model DevLex-II, based on the earlier DevLex model. DevLex-II can simulate a variety of empirical patterns in children's acquisition of words. These include a clear vocabulary spurt, effects of word frequency and length on age of acquisition, and individual differences as a function of phonological short-term memory and associative capacity. Further results from lesioned models indicate developmental plasticity in the network's recovery from damage, in a non-monotonic fashion. We attribute the network's abilities in accounting for lexical development to interactive dynamics in the learning process. In particular, variations displayed by the model in the rate and size of early vocabulary development are modulated by (a) input characteristics, such as word frequency and word length, (b) consolidation of lexical-semantic representation, meaning-form association, and phonological short-term memory, and (c) delayed processes due to interactions among timing, severity, and recoverability of lesion. Together, DevLex and DevLex-II provide an accurate computational account of early lexical development.     

香港医疗制度与改革

香港的医疗制度由一个"二元医疗体系"组成,在体制模式、融资制度及服务规管三方面的安排都有其独特之处,为香港七百多万人提供了一个全民医疗安全网,能够达到公平、有效、可及性高及质素佳的要求。但是这个医疗系统也存在不少问题和隐忧,需要有效的改革,包括管治、管理、服务安排和融资模式改革等。     

Autoshaping and automaintenance: a neural-network approach

This article presents an interpretation of autoshaping, and positive and negative automaintenance, based on a neural-network model. The model makes no distinction between operant and respondent learning mechanisms, and takes into account knowledge of hippocampal and dopaminergic systems. Four simulations were run, each one using an A-B-A design and four instances of feedfoward architectures. In A, networks received a positive contingency between inputs that simulated a conditioned stimulus (CS) and an input that simulated an unconditioned stimulus (US). Responding was simulated as an output activation that was neither elicited by nor required for the US. B was an omission-training procedure. Response directedness was defined as sensory feedback from responding, simulated as a dependence of other inputs on responding. In Simulation 1, the phenomena were simulated with a fully connected architecture and maximally intense response feedback. The other simulations used a partially connected architecture without competition between CS and response feedback. In Simulation 2, a maximally intense feedback resulted in substantial autoshaping and automaintenance. In Simulation 3, eliminating response feedback interfered substantially with autoshaping and automaintenance. In Simulation 4, intermediate autoshaping and automaintenance resulted from an intermediate response feedback. Implications for the operant-respondent distinction and the behavior-neuroscience relation are discussed.     

A causal model theory of the meaning of cause, enable, and prevent

The verbs cause , enable , and prevent express beliefs about the way the world works. We offer a theory of their meaning in terms of the structure of those beliefs expressed using qualitative properties of causal models, a graphical framework for representing causal structure. We propose that these verbs refer to a causal model relevant to a discourse and that "A causes B" expresses the belief that the causal model includes a link from A to B. "A enables/allows B" entails that the model includes a link from A to B, that A represents a category of events necessary for B, and that an alternative cause of B exists. "A prevents B" entails that the model includes a link from A to B and that A reduces the likelihood of B. This theory is able to account for the results of four experiments as well as a variety of existing data on human reasoning.