6 found
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  1.  43
    Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition.Min Peng, Chongyang Wang, Tong Chen, Guangyuan Liu & Xiaolan Fu - 2017 - Frontiers in Psychology 8.
  2.  28
    Subjective Stress, Salivary Cortisol, and Electrophysiological Responses to Psychological Stress.Mingming Qi, Heming Gao, Lili Guan, Guangyuan Liu & Juan Yang - 2016 - Frontiers in Psychology 7.
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  3.  21
    Single-Trial EEG-fMRI Reveals the Generation Process of the Mismatch Negativity.Qiang Li, Guangyuan Liu, Guangjie Yuan, Gaoyuan Wang, Zonghui Wu & Xingcong Zhao - 2019 - Frontiers in Human Neuroscience 13:456119.
    Although research on the mismatch negativity (MMN) has been ongoing for 40 years, the generation process of the MMN remains largely unknown. In this study, we used a single-trial EEG-fMRI coupling method which can analyse neural activity with both high temporal and high spatial resolution and thus assess the generation process of the MMN. We elicited the MMN with an auditory oddball paradigm while recording simultaneous EEG and fMRI. We divided the MMN into five equal-durational phases. Utilizing the single-trial variability (...)
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  4.  24
    Effects of Musical Tempo on Musicians’ and Non-musicians’ Emotional Experience When Listening to Music.Ying Liu, Guangyuan Liu, Dongtao Wei, Qiang Li, Guangjie Yuan, Shifu Wu, Gaoyuan Wang & Xingcong Zhao - 2018 - Frontiers in Psychology 9.
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  5.  19
    Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective.Jie Wei, Tong Chen, Chuandong Li, Guangyuan Liu, Jiang Qiu & Dongtao Wei - 2018 - Frontiers in Human Neuroscience 12.
  6.  9
    Responses of functional brain networks in micro-expressions: An EEG study.Xingcong Zhao, Jiejia Chen, Tong Chen, Shiyuan Wang, Ying Liu, Xiaomei Zeng & Guangyuan Liu - 2022 - Frontiers in Psychology 13.
    Micro-expressions can reflect an individual’s subjective emotions and true mental state, and they are widely used in the fields of mental health, justice, law enforcement, intelligence, and security. However, one of the major challenges of working with MEs is that their neural mechanism is not entirely understood. To the best of our knowledge, the present study is the first to use electroencephalography to investigate the reorganizations of functional brain networks involved in MEs. We aimed to reveal the underlying neural mechanisms (...)
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