基于GRM模型的BP神经网络参数估计

目前参数估计多采用统计方法,存在耗时长、要求被试样本容量大和项目数多等缺点。本文将BP神经网络和降维法相结合,对GRM的项目参数和考生能力参数进行估计。蒙特卡洛模拟结果显示：（1）不管是人多题少还是题多人少,该网络设计下的参数估计精度都较高;（2）可以应用到多个不同等级评分的参数估计中,甚至是超过15个等级的项目参数,估计精度也较高,这是其他参数估计方法所不可比拟的;（3）运行的时长和统计估计方法相比大大缩减。     

The dynamics of bidirectional thought

High-level judgement and decision-making tasks display dynamic bidirectional relationships in which salient cues determine how responses are evaluated by decision-makers, and these responses in turn determine the cues that are considered. In this paper, we propose Kosko's bidirectional associative memory (BAM) network, a minimal two-layer recurrent neural network, as a mathematically tractable toy model with which the properties of existing bidirectional models, and the behavioural implications of these properties, can be studied. We first derive results regarding the dynamics of the BAM network, and then show how these results can be used to provide an analytically sound explanation for a number of important findings, including coherence shifts in judgement and choice, anchoring effects, and reference point effects.     

经济决策中人际信任博弈的理论模型与脑机制

信任是指个体在缺乏足够信息来判断他人动机、意图和行为的情况下,将社会资源交给对方处置并承担相应风险的意愿。作为一种基本的社会信号机制,信任对于发展和维持良好社会关系具有重要作用。借助信任博弈范式,研究者揭示了人际信任的认知神经机制并建构了多种理论,包括背叛厌恶理论、社会规范理论、道德规范理论和默认行为模型。脑成像研究发现信任行为主要涉及内侧前额叶、尾状核、杏仁核和脑岛等脑区,其中内侧前额叶主要参与心理推理、情绪认知与调控等过程,尾状核参与同伴值得信赖性的习得与编码,杏仁核和脑岛则主要参与风险、不确定性和背叛恐惧加工。今后研究应侧重不同理论之间的补充与整合,强化不同脑区之间的功能连接与整体性,并注重信任行为中的个体差异。     

反刍思维与注意脱离损坏的关系及其神经机制

反刍思维是一种重复性的消极思维, 会让个体将注意集中在消极痛苦的事情上。研究表明, 反刍思维和注意脱离损坏虽然是相互独立的概念, 但是二者却存在着密切的联系, 具体表现在注意脱离损坏会预测个体的反刍思维以及反刍思维有关的注意脱损坏可能是受到意识控制的。同时, 反刍思维的类型和自我相关性在反刍思维和注意脱离损坏关系中的作用依然需要进一步探究。另外, 注意脱离有关的训练明显地改善了个体的反刍思维。并且, 杏仁核的过度激活, 前扣带回(anterior cingulate cortex, ACC)对自我相关消极信息的调节异常, 右背外侧前额叶(dorsal lateral prefrontal cortex, DLPFC)的活动异常以及与注意有关的脑神经网络的结构和功能的异常可能是反刍思维和注意脱离损坏相互影响的原因。     

Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes?

The investigation of visual categorization has recently been aided by the introduction of deep convolutional neural networks (CNNs), which achieve unprecedented accuracy in picture classification after extensive training. Even if the architecture of CNNs is inspired by the organization of the visual brain, the similarity between CNN and human visual processing remains unclear. Here, we investigated this issue by engaging humans and CNNs in a two-class visual categorization task. To this end, pictures containing animals or vehicles were modified to contain only low/high spatial frequency (HSF) information, or were scrambled in the phase of the spatial frequency spectrum. For all types of degradation, accuracy increased as degradation was reduced for both humans and CNNs; however, the thresholds for accurate categorization varied between humans and CNNs. More remarkable differences were observed for HSF information compared to the other two types of degradation, both in terms of overall accuracy and image-level agreement between humans and CNNs. The difficulty with which the CNNs were shown to categorize high-passed natural scenes was reduced by picture whitening, a procedure which is inspired by how visual systems process natural images. The results are discussed concerning the adaptation to regularities in the visual environment (scene statistics); if the visual characteristics of the environment are not learned by CNNs, their visual categorization may depend only on a subset of the visual information on which humans rely, for example, on low spatial frequency information.     

不同频率经颅交流电刺激在精神疾病中的应用

近年来, 研究者开始将经颅交流电刺激技术应用于精神疾病领域中, 其中, 以γ、α频率最受关注。tACS作用于精神疾病的可能机制包括两个方面, 直接调节异常的大脑神经活动和间接改善患者的认知功能。首先, 使用特定频率的tACS作用目标脑区, 可以调节对应频率的神经振荡和大脑功能连接, 通过作用于疾病相关的异常大脑活动, 直接改善患者的临床症状。其次, 并不针对某种疾病特异受损的大脑活动, 而是用tACS激活与认知功能相关的大脑环路, 广泛地提高患者的注意、记忆等多种认知功能, 进而整体上缓解不良症状。目前, 使用tACS治疗精神疾病这一领域还有一些尚未解决、值得探讨的问题。tACS的作用机制研究、刺激参数和范式改进、技术升级, 可以成为心理学、脑科学以及临床医学的重点研究方向。     

序列依赖效应——一种全新的“历史效应”

自2014年来, 研究者在视觉加工中发现一种全新的历史效应——序列依赖效应(当前刺激加工向先前刺激方向偏移的吸引性加工偏差)。近期研究发现：该效应广泛存在于视觉加工的各个层面(既包括朝向、空间位置、数量等低级特征, 也包括身份、吸引力、美感等高级属性); 其来源极为复杂(包括感觉编码、高级皮层的反馈调节、工作记忆、决策模板、感知与决策的级联等), 反映出不同层次的过往加工痕迹向当前认知的投射。针对该效应的典型特征、影响因素、认知与神经机制, 已涌现大量研究, 同时也存在严重争论, 亟待研究者深入探讨和厘清。     

A constructive neural-network approach to modeling psychological development

This article reviews a particular computational modeling approach to the study of psychological development – that of constructive neural networks. This approach is applied to a variety of developmental domains and issues, including Piagetian tasks, shift learning, language acquisition, number comparison, habituation of visual attention, concept learning, and theory of mind. Implications of this modeling for theoretical understanding of psychological development are considered.     

Dissociable neural systems of sequence learning

Although current theories all point to distinct neural systems for sequence learning, no consensus has been reached on which factors crucially define this distinction. Dissociable judgment-linked versus motor-linked and implicit versus explicit neural systems have been proposed. This paper reviews these two distinctions, yet concludes that these traditional dichotomies prove insufficient to account for all data on sequence learning and its neural organization. Instead, a broader theoretical framework is necessary providing a more continuous means of dissociating sequence learning systems. We argue that a more recent theory, dissociating multidimensional versus unidimensional neural systems, might provide such framework, and we discuss this theory in relation to more general principles of associative learning and recent imaging findings.     

Autonomy in Action: Linking the Act of Looking to Memory Formation in Infancy via Dynamic Neural Fields

Looking is a fundamental exploratory behavior by which infants acquire knowledge about the world. In theories of infant habituation, however, looking as an exploratory behavior has been deemphasized relative to the reliable nature with which looking indexes active cognitive processing. We present a new theory that connects looking to the dynamics of memory formation and formally implement this theory in a Dynamic Neural Field model that learns autonomously as it actively looks and looks away from a stimulus. We situate this model in a habituation task and illustrate the mechanisms by which looking, encoding, working memory formation, and long‐term memory formation give rise to habituation across multiple stimulus and task contexts. We also illustrate how the act of looking and the temporal dynamics of learning affect each other. Finally, we test a new hypothesis about the sources of developmental differences in looking.