Order:
Disambiguations
Zhen Yuan [9]Zheng Yuan [2]Zhen'guo Yuan [1]Zhenyu Yuan [1]
Zhenhua Yuan [1]
  1.  4
    Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS.Zhen Yuan, Xin Zhang & Mingzhou Ding - 2019 - Frontiers in Human Neuroscience 13.
  2.  31
    Resting-State Neuroimaging and Neuropsychological Findings in Opioid Use Disorder During Abstinence: A Review.Hada Fong-ha Ieong & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  3.  22
    Biofunctional Understanding and Judgment of Size.Zheng Jin, Yang Lee & Zheng Yuan - 2016 - Frontiers in Psychology 7.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  4.  15
    Corrigendum: Biofunctional Understanding and Judgment of Size.Zheng Jin, Yang Lee & Zheng Yuan - 2018 - Frontiers in Psychology 9.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  5.  38
    Diffusion Tensor Imaging Tractography Reveals Disrupted White Matter Structural Connectivity Network in Healthy Adults with Insomnia Symptoms.Feng-Mei Lu, Jing Dai, Tania A. Couto, Chun-Hong Liu, Heng Chen, Shun-Li Lu, Li-Rong Tang, Chang-Le Tie, Hua-Fu Chen, Man-Xi He, Yu-Tao Xiang & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  6.  7
    Brain Hemispheres Swap Dominance for Processing Semantically Meaningful Pitch.Xiao-Dong Wang, Hong Xu, Zhen Yuan, Hao Luo, Ming Wang, Hua-Wei Li & Lin Chen - 2021 - Frontiers in Human Neuroscience 15.
    The question of what determines brain laterality for auditory cognitive processing is unresolved. Here, we demonstrate a swap of hemisphere dominance from right to left during semantic interpretation of Chinese lexical tones in native speakers using simultaneously recorded mismatch negativity response and behavioral reaction time during dichotic listening judgment. The mismatch negativity, which is a brain wave response and indexes auditory processing at an early stage, indicated right hemisphere dominance. In contrast, the behavioral reaction time, which reflects auditory processing at (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  7. Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications.Yiping Wen, Junjie Hou, Zhen Yuan & Dong Zhou - 2020 - Complexity 2020:1-16.
    Scientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific workflows. In this paper, with the help of heterogeneous information network and tags of scientific workflows, we organize scientific workflows as a HIN and propose a novel scientific workflow similarity computation method based on metapath. In addition, the density peak clustering algorithm is introduced (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  8.  10
    An Enhanced Fault-Detection Method Based on Adaptive Spectral Decomposition and Super-Resolution Deep Learning.Zhenyu Yuan, Handong Huang, Yuxin Jiang, Jinbiao Tang & Jingjing Li - 2019 - Interpretation 7 (3):T713-T725.
    Coherence is widely used for detecting faults in reservoir characterization. However, faults detected from coherence may be contaminated by some other discontinuities that are unrelated to faults. To further improve the accuracy and efficiency of coherence, preprocessing or postprocessing techniques are required. We developed an enhanced fault-detection method with adaptive scale highlighting and high resolution, by combining adaptive spectral decomposition and super-resolution deep learning into coherence calculation. As a preprocessing technique, adaptive spectral decomposition is first proposed and applied on seismic (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  9.  6
    A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection.Jiang Zhang, Jingyue Zhang, Houhua Ren, Qihong Liu, Zhengcong Du, Lan Wu, Liyang Sai, Zhen Yuan, Site Mo & Xiaohong Lin - 2021 - Frontiers in Human Neuroscience 14.
    Neuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy signals was proposed to examine the brain activation difference between the spontaneous deceptive behavior and controlled behavior. The power value produced by the model was applied to quantify the activity energy of brain regions, which can serve as a neuromarker for (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  10.  10
    Combining Behavioral and ERP Methodologies to Investigate the Differences Between McGurk Effects Demonstrated by Cantonese and Mandarin Speakers.Juan Zhang, Yaxuan Meng, Catherine McBride, Xitao Fan & Zhen Yuan - 2018 - Frontiers in Human Neuroscience 12.
  11.  21
    Combining Self-Organizing Mapping and Supervised Affinity Propagation Clustering Approach to Investigate Functional Brain Networks Involved in Motor Imagery and Execution with fMRI Measurements.Jiang Zhang, Qi Liu, Huafu Chen, Zhen Yuan, Jin Huang, Lihua Deng, Fengmei Lu, Junpeng Zhang, Yuqing Wang, Mingwen Wang & Liangyin Chen - 2015 - Frontiers in Human Neuroscience 9.
  12.  16
    Different Neural Correlates of Emotion-Label Words and Emotion-Laden Words: An ERP Study.Juan Zhang, Chenggang Wu, Yaxuan Meng & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  13. Two-Stage User Identification Based on User Topology Dynamic Community Clustering.Jiajing Zhang, Zhenhua Yuan, Neng Xu, Jinlan Chen & Juxiang Wang - 2021 - Complexity 2021:1-10.
    In order to solve the problem of node information loss during user matching in the existing user identification method of fixed community across the social network based on user topological relationship, Two-Stage User Identification Based on User Topology Dynamic Community Clustering algorithm is proposed. Firstly, we perform community clustering on different social networks, calculate the similarity between different network communities, and screen out community pairs with greater similarity. Secondly, two-way marriage matching is carried out for users between pairs of communities (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark