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A ventral striatal learning signal reflecting individual differences in the success of fear extinction
Individual differences in fear extinction learning are centrally involved in anxiety vulnerability. We here investigate individual extinction differences using a model-free, data-driven approach, by applying Latent Class Growth Modeling (LCGM) to four in-house data sets.
Andres, Elena, Hu Chuan-Peng, Tüscher, Oliver, Kalisch, Raffael
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How sleeping minds decide: State-specific reconfigurations of lexical decision-making
Sleep has traditionally been conceptualized as a state of cognitive disconnection, yet emerging evidence indicates that decision-making capacities persist across sleep stages. Here, we elucidate the computational mechanisms underlying real-time lexical decision-making during polysomnographically-verified sleep.
Xia, Tao, Hu Chuan-Peng, Türker, Basak, Musat, Esteban Munoz, Naccache, Lionel, Arnulf, Isabelle, Oudiette, Delphine, Hu, Xiaoqing
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High spatial frequency signals drive emotion-related perceptual decision making under emotion-guided attention
How we detect and perceive threats and other emotional objects has long been a central theme in affective science research.
Ramesh Ramchand Karnani, Friederike Elisabeth Hedley, Gabriella Imbriano, Mun Lam, Cameron van Breda, Hu Chuan-Peng, Sing-Hang Cheung, Jingwen Jin
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High spatial frequency signals drive emotion-related perceptual decision making under emotion-guided attention
漂移扩散模型的理论基础及其合理使用的路径
漂移扩散模型被广泛应用于不同领域的反应时分析。然而，当前文献缺少对 DDM 的数学模型、参数估计算法和工具及如何合理使用的系统阐述。
王琪惠, 任子伟, 胡传鹏, 王益文
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认知任务的测量信度：进展与前景
认知任务(cognitive tasks)是研究人类认知过程的核心工具，广泛应用于认知科学与神经科学等领域。随着个体化研究的兴起，认知任务在测量个体差异方面的应用日益增多，其测量信度问题也逐渐引起关注。
朱芃芃, 刘铮, 康春花, 胡传鹏
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中国体育与运动领域实施开放科学的思考：理论框架与实践路径
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魏高峡, 盖力锟, 胡传鹏, 林萱
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An Extended Chinese Social Evaluative Word List
Social evaluation, i.e., people’s views of self, others, and groups, is ubiquitous and embedded in our language. In turn, social …
Lulu Li, Qingrong Cheng, Hu Chuan-Peng
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An Extended Chinese Social Evaluative Word List
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
Drift-diffusion models (DDMs) are pivotal in understanding evidence-accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry.
Wanke Pan, Haiyang Geng, Lei Zhang, Alexander Fengler, Michael J. Frank, Ru-Yuan Zhang, Hu Chuan-Peng
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dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
A manifesto for a globally diverse, equitable, and inclusive open science
The field of psychology has rapidly transformed its open science practices in recent years. Yet there has been limited progress in integrating principles of diversity, equity and inclusion.
Sakshi Ghai, Rémi Thériault, Patrick Forscher, Yuichi Shoda, Moin Syed, Arathy Puthillam, Hu Chuan-Peng, Dana Basnight-Brown, Asifa Majid, Flavio Azevedo, Leher Singh
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A manifesto for a globally diverse, equitable, and inclusive open science
A multiverse assessment of the reliability of the self-matching task as a measurement of the self-prioritization effect
The self-matching task (SMT) is widely used to investigate the cognitive mechanisms underlying the self-prioritization effect (SPE), wherein performance is enhanced for self-associated stimuli compared to other-associated ones
Zheng, Liu, Mengzhen Hu, Yuanrui Zheng, Jie Sui, Hu Chuan-Peng
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A multiverse assessment of the reliability of the self-matching task as a measurement of the self-prioritization effect