Birth of an Abstraction: A Dynamical Systems Account of the Discovery of an Elsewhere Principle in a Category Learning Task

Human participants and recurrent (“connectionist”) neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular (“strong”) classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the Elsewhere Condition (Kiparsky, 1973). Previous connectionist accounts of related phenomena have often been vague about the nature of the networks’ encoding systems. We analyzed our network using dynamical systems theory, revealing topological and geometric properties that can be directly compared with the mechanisms of non‐connectionist, rule‐based accounts. The results reveal that the networks “contain” structures related to mechanisms posited by rule‐based models, partly vindicating the insights of these models. On the other hand, they support the one mechanism (OM), as opposed to the more than one mechanism (MOM), view of symbolic abstraction by showing how the appearance of MOM behavior can arise emergently from one underlying set of principles. The key new contribution of this study is to show that dynamical systems theory can allow us to explicitly characterize the relationship between the two perspectives in implemented models.     

Being and feeling liked by others: How social inclusion impacts health

This study examined the effects of perceived and actual social inclusion on health across and within individuals from a network perspective. During the first semester, 75 freshmen students provided bi-weekly ratings on their perceived social inclusion and health. To capture actual social inclusion, each student nominated liked and disliked fellow students. Perceived social inclusion mediated the effect of actual social inclusion on health. Specifically, students with more ‘likes’ perceived more social inclusion and those with higher perceived inclusion reported a better health status (between-person effect). In addition, at time points, when students received more ‘likes’ they also perceived more social inclusion. They reported better health at times when they felt more included (within-person effect). Thus, the perception of social inclusion is rooted in reality and actual social inclusion has an impact on health when passing the filter of perception.     

视觉词汇加工的动态神经网络及其形成

揭示大脑加工的神经网络机制成为认知神经科学研究的最新取向.本研究以视觉词汇加工脑区(VWFA)的神经功能作为切入点,探讨视觉词汇加工神经网络的动态机制及其形成.研究一考察VWFA在刺激驱动和任务调节下的动态激活,及其与语音、语义脑区所组成神经网络的动态机制.研究二通过跨文化对比以及儿童阅读发展研究,阐明语言经验对视觉词汇加工网络的塑造作用.研究三对比功能网络、静息网络以及白质纤维束联结,探讨视觉词汇加工网络的动态联结及其形成.研究结果有助于建构视觉词汇加工的神经生理模型,为基于脑科学的阅读教学和阅读障碍矫治奠定理论基础,为认知神经科学研究提供了新的思路.     

伤害回避的脑机制及其生物基础

伤害回避是指个体对厌恶刺激信号做出强烈的反应,并学会被动地回避惩罚的一种倾向,这一倾向使得个体反复思考未来的结局,并谨慎小心地对待不确定情景中的事件,进而更有可能诱发情感障碍。伤害回避涉及的神经网络包括三个子网络,即额顶叶-前扣带皮层的连接、皮层-杏仁核的连接和白质通道的结构性连接,这三个子网络分别与羞怯感-易疲劳性、预期担心以及不确定环境中的害怕情绪有关。而其生物基础则包括单一基因多态性和基因多态间的交互作用。今后的研究应该集中在深化伤害回避神经网络与生物基础间的联合机制、研究三种及以上基因多态间的交互作用、考察其他因素对基因效应的调节作用、注重伤害回避四种亚型相关神经网络之间的连接、探讨5-HT4等其他几种5-羟色胺受体多态性与伤害回避的关系以及分析伤害回避内部机制在抗抑郁治疗中的作用等方面。     

聋校低年级学生班级友伴网络建构及其特点研究— 一项两年的追踪研究

本文采用调查法与社会网络分析法对聋校三年级聋生在班级群体中的友伴网络进行2年的追踪研究,以探索友伴网络的建构及其动态发展特征。结果表明：①三年级初期,聋生在友伴网络的个体中心度与个体的外貌、成绩与年龄等个人特征有显著相关;但随年级升高,这种相关性逐渐消失。②聋生友伴网络中存在一个十分稳定的中心小团体,其团体成员在整个网络中处于中心地位。③聋生在班级群体中的互选朋友关系呈现出中等程度的稳定性。     

被动性社交网站使用与初中生抑郁的关系：链式中介效应分析

为探讨被动性社交网站使用、冗思、核心自我评价与初中生抑郁的关系,本研究采用被动性社交网站使用问卷、冗思问卷、核心自我评价问卷以及流调中心用抑郁量表对673名初中生进行调查研究。结果显示：（1）被动性社交网站使用与冗思和抑郁均呈显著正相关,而与核心自我评价呈显著负相关;核心自我评价与冗思、抑郁呈显著负相关;冗思与抑郁呈显著正相关;（2）被动性社交网站使用不仅对初中生抑郁具有显著的直接预测作用,而且能够通过三种间接效应对抑郁产生影响,即核心自我评价的单独中介作用、冗思的单独中介作用以及二者的链式中介作用。     

Differences in First Graders' School Adjustment: the Role of Classroom Characteristics and Social Structure of the Group

We examined differences among classes in academic and psychosocial aspects of school adjustment. The sample consisted of 1241 6-7-year-olds in 71 classes from 49 schools. Multilevel analyses showed that 83.5% of the variance was at the child level, 10.3% at the class level, and 6.2% at the school level. Thus, for the part of the variance that was not at the child level, differences among classes were more important than differences among schools. To identify relevant class factors, we focused on classroom characteristics and aspects of the social structure in the class such as integration and openness. Classroom and teacher variables were relatively unimportant compared to social structure indices that yielded significant correlation indicators of social interaction and intellectual competence and explained part of their variance at the class level. This suggested that the structure of the social relations contributed to differences among classes in several aspects of school adjustment.     

对肾移植输血问题的思考

就肾移植受者输血的几个问题进行了回顾和探讨。提出肾移植受者输血应该考虑的问题有：如何权衡输血对肾移植受者的有益作用与输血风险,输血医学的发展如何为肾移植提供更有力的保障,应该深入探讨输血有益于肾移植的机制,推进供者特异性输血在我国的应用。     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.