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Qingyun Zhang

Biographic Data

ID6376970
NAMEQingyun Zhang
GIVEN NAMESQingyun
FAMILY NAMEZhang
SIGNATUREZHANG Q
AFFILIATIONSShandong Normal University
ORCID0000-0001-5439-4517
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Effect of example variability on the implicit learning of multiple non-adjacent rule

    Xiaoli Ling, Qingyun Zhang et al.•ARTICLE•Acta Psychologica Sinica•2026

    摘要: 多重映射远距离规则具有无限生成能力, 是构建复杂自然语言结构的基础, 如何促进其内隐习得是该领域的关键问题。样例变异性作为影响学习的重要因素, 其对该规则内隐学习的作用模式及机制尚不明确。本研究以汉语声调为载体构建多重映射远距离规则, 设置低、中、高三种样例变异水平, 系统考察样例变异与内隐学习成绩之间的关系, 并在测验阶段引入学习阶段未出现过的声调映射迁移材料, 探讨样例变异性的促进作用是否发生在抽象的变量-变量映射层面。结果发现, 样例变异性与内隐学习效应呈U型曲线关系:高、低变异条件下, 被试表现出更强的内隐学习效应, 并习得可迁移的变量-变量映射抽象规则; 中等变异条件下, 学习效果较弱, 仅习得值-值映射, 难以迁移。本研究揭示了样例变异性与多重映射远距离规则内隐学习之间的非线性关系, 明确了其作用于抽象表征层面的作用机制; 也从样例变异性的角度指出, 抽象规则的内隐习得存在特定边界条件。这些发现深化了对内隐学习机制的理解, 并为优化教学设计提供了科学依据。

  • Investigating the changes and driving forces of global value chain networks based on the stochastic actor-oriented model

    Open Access•Renquan Huang, Cunpu Li et al.•ARTICLE•Humanities and Social Sciences…•2026

    Economic growth dependence provides a new perspective for the study of global value chains. Based on the dependence relationship of economic growth, Global Value Chain (GVC) networks had been constructed, and the structural characteristics had been analyzed. Utilizing the Stochastic Actor-Oriented Model (SAOM), this paper explored the evolution and the driving factors of GVC networks. The results showed that: (1) China has established the dominan…

  • Neural basis of cooperation in the Prisoner's Dilemma in a loss context

    Open Access•Peng Sun, Li Zheng et al.•ARTICLE•Social Behavior and Personality…•2023

    Using functional magnetic resonance imaging (fMRI) technology, we conducted an experiment to explore the effects of gain and loss contexts on cooperation and its brain activation patterns in the Prisoner's Dilemma game. The results showed that even in a loss context, participants still chose cooperation in nearly half of the experiment trials, but the cooperation rate was higher in a gain context. The results of fMRI showed that the right ventrom…

  • Sleep and the consolidation of perceptual and motor sequences in implicit learning

    Peng Sun, Xueqing Li et al.•ARTICLE•Acta Psychologica Sinica•2022

    摘要: 离线阶段发生的学习被称为离线巩固, 即在最初获得知识之后, 即使没有额外的练习, 其记忆痕迹也会保持稳定或提高。有研究初步探究了睡眠对知觉和动作序列内隐学习离线巩固的影响, 然而, 这些研究未能实现知觉序列与动作序列的完全分离, 序列类型是否调节睡眠对内隐序列学习离线巩固的影响仍需进一步探讨。此外, 既往外显学习的研究发现相对于简单的序列, 复杂的序列更容易从睡眠中获益, 表现出基于睡眠的离线巩固效应。睡眠对知觉序列与动作序列内隐学习离线巩固的影响是否会受到序列复杂程度的调节尚不明确。为此, 本研究在完全分离知觉序列和动作序列的情况下, 通过3个实验操纵序列的长度及结构, 设置3种不同复杂程度的序列规则, 考察了这一问题。结果发现, 对于动作序列, 序列规则复杂程度较低时, 无论是否经过睡眠都会发生离线巩固效应, 而当动作序列规则较为复杂时, 只有经历睡眠才会引起离线巩固效应; 对于知觉序列, 无论何种难易程度的规则, 均未发生离线巩固效应。上述结果表明内隐序列知识基于睡眠的离线…

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  • Sleep and the consolidation of perceptual and motor sequences in implicit learning

    Peng Sun, Xueqing Li et al.•ARTICLE•Acta Psychologica Sinica•2022

    摘要: 离线阶段发生的学习被称为离线巩固, 即在最初获得知识之后, 即使没有额外的练习, 其记忆痕迹也会保持稳定或提高。有研究初步探究了睡眠对知觉和动作序列内隐学习离线巩固的影响, 然而, 这些研究未能实现知觉序列与动作序列的完全分离, 序列类型是否调节睡眠对内隐序列学习离线巩固的影响仍需进一步探讨。此外, 既往外显学习的研究发现相对于简单的序列, 复杂的序列更容易从睡眠中获益, 表现出基于睡眠的离线巩固效应。睡眠对知觉序列与动作序列内隐学习离线巩固的影响是否会受到序列复杂程度的调节尚不明确。为此, 本研究在完全分离知觉序列和动作序列的情况下, 通过3个实验操纵序列的长度及结构, 设置3种不同复杂程度的序列规则, 考察了这一问题。结果发现, 对于动作序列, 序列规则复杂程度较低时, 无论是否经过睡眠都会发生离线巩固效应, 而当动作序列规则较为复杂时, 只有经历睡眠才会引起离线巩固效应; 对于知觉序列, 无论何种难易程度的规则, 均未发生离线巩固效应。上述结果表明内隐序列知识基于睡眠的离线…

  • Neural basis of cooperation in the Prisoner's Dilemma in a loss context

    Open Access•Peng Sun, Li Zheng et al.•ARTICLE•Social Behavior and Personality…•2023

    Using functional magnetic resonance imaging (fMRI) technology, we conducted an experiment to explore the effects of gain and loss contexts on cooperation and its brain activation patterns in the Prisoner's Dilemma game. The results showed that even in a loss context, participants still chose cooperation in nearly half of the experiment trials, but the cooperation rate was higher in a gain context. The results of fMRI showed that the right ventrom…

  • Effect of example variability on the implicit learning of multiple non-adjacent rule

    Xiaoli Ling, Qingyun Zhang et al.•ARTICLE•Acta Psychologica Sinica•2026

    摘要: 多重映射远距离规则具有无限生成能力, 是构建复杂自然语言结构的基础, 如何促进其内隐习得是该领域的关键问题。样例变异性作为影响学习的重要因素, 其对该规则内隐学习的作用模式及机制尚不明确。本研究以汉语声调为载体构建多重映射远距离规则, 设置低、中、高三种样例变异水平, 系统考察样例变异与内隐学习成绩之间的关系, 并在测验阶段引入学习阶段未出现过的声调映射迁移材料, 探讨样例变异性的促进作用是否发生在抽象的变量-变量映射层面。结果发现, 样例变异性与内隐学习效应呈U型曲线关系:高、低变异条件下, 被试表现出更强的内隐学习效应, 并习得可迁移的变量-变量映射抽象规则; 中等变异条件下, 学习效果较弱, 仅习得值-值映射, 难以迁移。本研究揭示了样例变异性与多重映射远距离规则内隐学习之间的非线性关系, 明确了其作用于抽象表征层面的作用机制; 也从样例变异性的角度指出, 抽象规则的内隐习得存在特定边界条件。这些发现深化了对内隐学习机制的理解, 并为优化教学设计提供了科学依据。

  • Investigating the changes and driving forces of global value chain networks based on the stochastic actor-oriented model

    Open Access•Renquan Huang, Cunpu Li et al.•ARTICLE•Humanities and Social Sciences…•2026

    Economic growth dependence provides a new perspective for the study of global value chains. Based on the dependence relationship of economic growth, Global Value Chain (GVC) networks had been constructed, and the structural characteristics had been analyzed. Utilizing the Stochastic Actor-Oriented Model (SAOM), this paper explored the evolution and the driving factors of GVC networks. The results showed that: (1) China has established the dominan…

Cognition (2 works) · Cognitive psychology (2 works) · Implicit Learning (2 works) · Motor Control and Adaptation (2 works) · Neuroscience (2 works) · Psychology (2 works) · Action Observation and Synchronization (1 work) · China (1 work) · Complex network (1 work) · Computer Science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae