Professor | Yunpeng Jiang | Asia Growth Partners

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Name	Yunpeng Jiang
Language ability	Chinese, English
Province	Beijing

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Name

Yunpeng Jiang

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Tianjin Normal University
Faculty	Psychology
Academic Background & Achievements	2005-2009 Bachelor of Engineering: Shenyang University of Technology 2010-2013 Master of Education: Northeast Normal University 2013-2018 Doctor of Engineering: Tsinghua University

University/Lab Affiliation and Title

Tianjin Normal University

Faculty

Psychology

Academic Background & Achievements

2005-2009 Bachelor of Engineering: Shenyang University of Technology
2010-2013 Master of Education: Northeast Normal University
2013-2018 Doctor of Engineering: Tsinghua University

Areas of Focus	Using EEG (ERP and SSVEP) and MRI (MRI, DTI, fMRI, and rs-fMRI) techniques to study issues related to visual selective attention, such as the impact of irrelevant information on the allocation of attentional resources and attentional control sets in visual search. Also attempting to apply machine learning methods in cognitive neuroscience research.
Publications	Time course of influence on the allocation of attentional resources caused by unconscious fearful faces, Jiang, Y., Wu, X., Saab, R., Xiao, Y., & Gao, X., 2018 A category-specific top-down attentional set can affect the neural responses outside the current focus of attention, Jiang, Y., Wu, X., & Gao, X., 2017 情绪学习促进无意识信息进入意识, 张秀玲, 庞兆阳, 姜云鹏, 张明, & 蒋毅, 2018 无意识信息加工中的“完型”—— 无意识捆绑假说的新证据, 张秀玲, 董波, 姜云鹏, & 张明, 2012

Areas of Focus

Using EEG (ERP and SSVEP) and MRI (MRI, DTI, fMRI, and rs-fMRI) techniques to study issues related to visual selective attention, such as the impact of irrelevant information on the allocation of attentional resources and attentional control sets in visual search. Also attempting to apply machine learning methods in cognitive neuroscience research.

Publications

Time course of influence on the allocation of attentional resources caused by unconscious fearful faces, Jiang, Y., Wu, X., Saab, R., Xiao, Y., & Gao, X., 2018
A category-specific top-down attentional set can affect the neural responses outside the current focus of attention, Jiang, Y., Wu, X., & Gao, X., 2017
情绪学习促进无意识信息进入意识, 张秀玲, 庞兆阳, 姜云鹏, 张明, & 蒋毅, 2018
无意识信息加工中的“完型”—— 无意识捆绑假说的新证据, 张秀玲, 董波, 姜云鹏, & 张明, 2012

Eeg Erp Ssvep Mri Dti Fmri Rs-Fmri Visual Selective Attention Attentional Resources Machine Learning

Ruiwang Huang - South China Normal University

Zonglei Zhen - Central China Normal University

Xiu Ping Zhang - Beijing Language and Culture University

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