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Individual differences in spatial navigation: A multi-scale perspective 空间导航的个体差异:多尺度视角
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.01642
Fengxiang Zhang, Meixuan Chen, Yi Pu, Xiang-Zhen Kong
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引用次数: 0
Warm reading: Clarifying the mechanisms of empathy in text reading 热情阅读:厘清文本阅读中的共情机制
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.02025
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引用次数: 0
The co-varying relationship between children and adolescents’ peer networks and bullying-related behaviors from the perspective of social networks 社会网络视角下儿童青少年同伴网络与欺凌相关行为的共变关系
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.00416
Libin Zhang, Qiwen Zhang, Chenxu Wang, Yunyun Zhang
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引用次数: 0
Distributed representation of semantics in the human brain: Evidence from studies using natural language processing techniques 人脑中语义的分布式表示:来自使用自然语言处理技术的研究的证据
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.01002
Jiahao Jiang, Guoyu Zhao, Yingbo Ma, Guosheng Ding, Lanfang Liu
: How semantics are represented in human brain is a central issue in cognitive neuroscience. Previous studies typically address this issue by artificially manipulating the properties of stimuli or task demands. Having brought valuable insights into the neurobiology of language, this psychological experimental approach may still fail to characterize semantic information with high resolution, and have difficulty quantifying context information and high-level concepts. The recently-developed natural language processing (NLP) techniques provide tools to represent the discrete semantics in the form of vectors, enabling automatic extraction of word semantics and even the information of context and syntax. Recent studies have applied NLP techniques to model the semantic of stimuli, and mapped the semantic vectors onto brain activities through representational similarity analyses or linear regression. A consistent finding is that the semantic information is represented by a vastly distributed network across the frontal, temporal and occipital cortices. Future studies may adopt multi-modal neural networks and knowledge graphs to extract richer information of semantics, apply NLP models to automatically assess the language ability of special groups, and improve the interpretability of deep neural network models with neurocognitive findings.
语义如何在人脑中表现是认知神经科学的一个核心问题。以前的研究通常通过人为地操纵刺激或任务要求的特性来解决这个问题。这种心理学实验方法虽然对语言的神经生物学带来了宝贵的见解,但可能仍然无法高分辨率地表征语义信息,并且难以量化上下文信息和高级概念。近年来发展起来的自然语言处理(NLP)技术为离散语义以向量的形式表示提供了工具,可以自动提取词语义甚至上下文和语法信息。近年来的研究将NLP技术应用于刺激的语义建模,并通过表征相似性分析或线性回归将语义向量映射到大脑活动上。一个一致的发现是,语义信息是由横跨额叶、颞叶和枕叶皮层的广泛分布的网络来表示的。未来的研究可以采用多模态神经网络和知识图谱来提取更丰富的语义信息,应用NLP模型来自动评估特殊群体的语言能力,并利用神经认知的发现来提高深度神经网络模型的可解释性。
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引用次数: 0
Discount or trade off: The psychological mechanisms of intertemporal choice with double-dated mixed outcomes 折扣或交易:双日期混合结果跨期选择的心理机制
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.01121
Si‐Chu Shen, Yao-Min Wang, Han-Bing Zhang, Jia-Tao Ma
: Individuals, enterprises and countries need to make decisions involving different time nodes in real life. Such decisions are commonly measured by "intertemporal preference" in the field of behavioral decision-making. Actually, the most important and crucial kind of intertemporal decision making relevant to survival and development are intertemporal choice with double-dated mix outcomes. However, existing intertemporal preferences measure by paradigms with pure gain outcomes was found to be poor predictors of far-sighted behavior in real life. Besides, mature theoretical models of intertemporal choice could not satisfactorily explain people's real intertemporal preferences. To better describe and explain people's intertemporal preferences with double-dated mixed outcomes, the present project intends to: 1) synthesize indicators of intertemporal choice with double-dated mixed outcomes by using two different logics, providing predictive indicators for model comparison; 2) develop a new ecological paradigm of measuring intertemporal choice with double-dated outcomes, aiming to provide a more ecological and predictive measurement for the development of following research; 3) adopt the Mouselab and eye-tracking technique to test which model could more satisfactorily explain intertemporal preference with double-dated outcomes, the utility comparison model or the attribute-comparison model.
个人、企业和国家需要在现实生活中做出涉及不同时间节点的决策。这类决策通常用行为决策领域的“跨期偏好”来衡量。实际上,与生存和发展相关的最重要和最关键的跨期决策是具有双重日期混合结果的跨期选择。然而,现有的以纯收益结果为衡量标准的跨期偏好不能很好地预测现实生活中的远视行为。此外,成熟的跨期选择理论模型也不能令人满意地解释人们的真实跨期偏好。为了更好地描述和解释双日期混合结果下人们的跨期选择,本项目拟:1)利用两种不同的逻辑综合双日期混合结果下的跨期选择指标,为模型比较提供预测指标;2)构建双日期结果跨期选择测度的新生态范式,为后续研究提供更具生态性和预测性的测度;3)采用Mouselab和眼动追踪技术,检验效用比较模型和属性比较模型哪一种模型能更满意地解释具有双日期结果的跨期偏好。
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引用次数: 0
A substitute for the collective ritual: Synchronized movement and its mechanism in the secular world 集体仪式的替代品:世俗世界中的同步运动及其机制
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.01303
Qiu Xue, Keli Yin
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引用次数: 0
Reward-anticipation and outcome-evaluation ERPs and its application in psychiatric disorders 奖励预期和结果评价erp及其在精神疾病中的应用
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.00783
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引用次数: 0
Environmentally specific servant leadership: Consequences and their underlying mechanism 特定于环境的仆人式领导:结果及其潜在机制
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.00827
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引用次数: 1
The mechanism of emotion processing and intention inference in social anxiety disorder based on biological motion 基于生物运动的社交焦虑障碍情绪加工和意图推理机制
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.00905
Yujia Peng, Yuxi Wang, Di Lu
: Social anxiety disorder (SAD) is associated with abnormal features in both emotion processing and social intention inference. However, there is a lack of research and clinical predictive models for the common mechanisms of emotion processing and social intention inference underlying social anxiety. The current project aims to use a combination of behavioral experiments, functional magnetic resonance imaging, and computational modeling to systematically examine the mechanisms of negative cognitive biases in SAD. Based on classic biological motion paradigms targeting emotion processing and social intention inference, combining the facial expressions, we aim to establish predictive models of SAD clinical symptoms based on multi-dimensional data. This project has the prospect of revealing the psychopathology underlying SAD, examining the association between behavioral and neuroimaging data underlying mental disorders, and promoting objective classification and prediction of mental disorders.
社交焦虑障碍(Social anxiety disorder, SAD)与情绪加工和社交意图推理的异常特征有关。然而,对于社交焦虑的情绪加工和社会意图推理的共同机制,缺乏研究和临床预测模型。本项目旨在采用行为实验、功能磁共振成像和计算模型相结合的方法,系统地研究SAD中负性认知偏差的机制。基于经典的生物动作范式,以情绪加工和社会意向推理为目标,结合面部表情,建立基于多维数据的SAD临床症状预测模型。本项目有望揭示SAD的精神病理基础,研究精神障碍的行为和神经影像学数据之间的关系,促进精神障碍的客观分类和预测。
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引用次数: 0
The double-edged sword effect of consumers’ photo-taking behavior on consumption experience 消费者拍照行为对消费体验的双刃剑效应
Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1042.2023.00480
Hongyan Liu, Yun Zheng, Yaozhong Liu, Fei Qiao
: Consumers record visual recollections of their experiences via photo-taking. The practice of photo-taking is an essential part of consumers’ everyday lives and a crucial marketing tool for businesses. However, few extant studies systematically reviewed the relevant literature on the impact of photo-taking on consumption
消费者通过拍照来记录他们的视觉记忆。拍照是消费者日常生活中必不可少的一部分,也是企业重要的营销工具。然而,很少有现有的研究系统地回顾了摄影对消费影响的相关文献
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引用次数: 0
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心理科学进展
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