Guanghui ZHANG, Ph.D
Affiliations: | Center for Mind and Brain | University of California, Davis, Davis, CA |
Area:
Computational Neuroscience, ERPLAB ERPLAB DevelopmentWebsite:
http://zhangg.net/Google:
"'Guanghui Zhang UC davis""Mean distance: (not calculated yet)
Parents
Sign in to add mentorFengyu Cong | grad student | 2015-2021 | Dalian University of Technology | |
(During this period, I worked with Prof. Cong to study for my master and Ph.D degree.) | ||||
Steven J. Luck | post-doc | 2021- |
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Publications
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Zhang G, Carrasco CD, Winsler K, et al. (2024) Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data. Neuroimage. 293: 120625 |
Song L, Zhang G, Wang X, et al. (2024) Does Artistic Training Affect Color Perception? A Study of ERPs and EROs in Experiencing Colors of Different Brightness. Biological Psychology. 108787 |
Zhang G, Garrett DR, Luck SJ. (2024) Optimal filters for ERP research I: A general approach for selecting filter settings. Psychophysiology. e14531 |
Zhang G, Garrett DR, Luck SJ. (2024) Optimal filters for ERP research II: Recommended settings for seven common ERP components. Psychophysiology. e14530 |
Zhang G, Garrett DR, Simmons AM, et al. (2024) Evaluating the effectiveness of artifact correction and rejection in event-related potential research. Psychophysiology. e14511 |
Zhang G, Garrett DR, Simmons AM, et al. (2023) Evaluating the Effectiveness of a Common Approach to Artifact Correction and Rejection in Event-related Potential Research. Biorxiv : the Preprint Server For Biology |
Zhang G, Garrett DR, Luck SJ. (2023) Optimal Filters for ERP Research II: Recommended Settings for Seven Common ERP Components. Biorxiv : the Preprint Server For Biology |
Zhang G, Garrett DR, Luck SJ. (2023) Optimal Filters for ERP Research I: A General Approach for Selecting Filter Settings. Biorxiv : the Preprint Server For Biology |
Zhang G, Luck SJ. (2023) Variations in ERP data quality across paradigms, participants, and scoring procedures. Psychophysiology. e14264 |
Zhang G, Li X, Lu Y, et al. (2022) Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject. Journal of Neuroscience Methods. 385: 109768 |