脑的逻辑功能的核磁共振成像及其哲学意义

国际上关于逻辑对应的脑物理特征的功能核磁共振成像（fMRI）研究的主要成就在于：建立了高级精神活动和低级神经活动的关联关系的试验方法;提出了高级精神活动的（判断和推理）神经计算模型建立方法。这些研究的实验结果表明,逻辑与神经活动具有确定性的对应关系,它证明了强人工智能的观点：导致意识的可验证的实体（或者称为“意识关联物”）就是意识本身。意识的运行方式是可计算的,思维的本质可以还原为机械性的操作步骤,人工智能和人的天然智能在本质上并无二致。     

Errorless Learning in the Rehabilitation of Memory Impairment: A Critical Review

This review considers the origins of the errorless learning (EL) concept, its application in memory rehabilitation, the evidence for its effectiveness, and the theoretical basis for the observed findings. The evidence suggests that EL offers valuable benefits for at least some people with memory impairments when teaching certain types of tasks. However, the benefits are not evident for all groups, some findings are equivocal, and there are some limitations associated with this approach. We discuss methodological issues impacting on these mixed findings, consider which theoretical explanations might account for the findings regarding benefits and limitations of EL, and comment on the implications for rehabilitation practitioners of the current state of evidence in this area.     

对我国脑死亡立法问题的反思

在对1999年以来我国脑死亡问题的研究成果进行初步梳理的基础上,针对我国学者主张脑死亡立法的主要论据,提出并分析了脑死亡问题的三个主要问题：（1）脑死亡是真正的死亡吗？（2）能否以经济效率的考量来定义生死？（3）器官移植和脑死亡到底有什么关系？还提出,脑死亡立法需要在我国现实的医疗卫生条件下进行讨论。     

脑死亡立法的若干法律问题探讨

因为关系到基本人权,脑死亡立法应当由全国人民代表大会立法通过。制定科学的脑死亡标准和严谨的脑死亡判定程序是保障其接近正义的必需。在脑死亡判定方面应充分地保障患者生命权、自主选择权,尊重患者以及家属的知情同意权,保障患者的基本权利是脑死亡立法的核心所在。器官移植不是脑死亡立法的理由。     

脑死亡立法的艰难与中国传统文化

因中国传统伦理文化对人们意识观念的深刻影响导致中国脑死亡立法步履艰难。从中国传统文化视角分析中国的脑死亡及相关伦理问题,提出中国脑死亡诊断标准的制定必须充分考虑民族心理感受,要立足于民族文化理性地探索“中国脑死亡”。     

Deterministic blockmodelling of signed and two-mode networks: A tutorial with software and psychological examples

Deterministic blockmodelling is a well-established clustering method for both exploratory and confirmatory social network analysis seeking partitions of a set of actors so that actors within each cluster are similar with respect to their patterns of ties to other actors (or, in some cases, other objects when considering two-mode networks). Even though some of the historical foundations for certain types of blockmodelling stem from the psychological literature, applications of deterministic blockmodelling in psychological research are relatively rare. This scarcity is potentially attributable to three factors: a general unfamiliarity with relevant blockmodelling methods and applications; a lack of awareness of the value of partitioning network data for understanding group structures and processes; and the unavailability of such methods on software platforms familiar to most psychological researchers. To tackle the first two items, we provide a tutorial presenting a general framework for blockmodelling and describe two of the most important types of deterministic blockmodelling applications relevant to psychological research: structural balance partitioning and two-mode partitioning based on structural equivalence. To address the third problem, we developed a suite of software programs that are available as both Fortran executable files and compiled Fortran dynamic-link libraries that can be implemented in the R software system. We demonstrate these software programs using networks from the literature.