T
Tzyy-Ping Jung
Researcher at University of California, San Diego
Publications - 384
Citations - 33127
Tzyy-Ping Jung is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Electroencephalography & Independent component analysis. The author has an hindex of 68, co-authored 361 publications receiving 28290 citations. Previous affiliations of Tzyy-Ping Jung include University of California, Berkeley & University System of Taiwan.
Papers
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Journal ArticleDOI
Removing electroencephalographic artifacts by blind source separation.
Tzyy-Ping Jung,Tzyy-Ping Jung,Scott Makeig,Colin Humphries,Te-Won Lee,Te-Won Lee,Martin J. McKeown,Vicente J. Iragui,Terrence J. Sejnowski,Terrence J. Sejnowski +9 more
TL;DR: The results on EEG data collected from normal and autistic subjects show that ICA can effectively detect, separate, and remove contamination from a wide variety of artifactual sources in EEG records with results comparing favorably with those obtained using regression and PCA methods.
Journal ArticleDOI
Analysis of fMRI data by blind separation into independent spatial components
Martin J. McKeown,Scott Makeig,Greg G. Brown,Tzyy-Ping Jung,Sandra S. Kindermann,Anthony J. Bell,Terrence J. Sejnowski,Terrence J. Sejnowski +7 more
TL;DR: This work decomposed eight fMRI data sets from 4 normal subjects performing Stroop color‐naming, the Brown and Peterson word/number task, and control tasks into spatially independent components, and found the ICA algorithm was superior to principal component analysis (PCA) in determining the spatial and temporal extent of task‐related activation.
Proceedings Article
Independent Component Analysis of Electroencephalographic Data
TL;DR: First results of applying the ICA algorithm to EEG and event-related potential (ERP) data collected during a sustained auditory detection task show that ICA training is insensitive to different random seeds and ICA may be used to segregate obvious artifactual EEG components from other sources.
Journal ArticleDOI
Dynamic Brain Sources of Visual Evoked Responses
Scott Makeig,Marissa Westerfield,Tzyy-Ping Jung,S. Enghoff,Jeanne Townsend,Eric Courchesne,Terrence J. Sejnowski +6 more
TL;DR: It is shown that nontarget event-related potentials were mainly generated by partial stimulus-induced phase resetting of multiple electroencephalographic processes in a human visual selective attention task.
Journal ArticleDOI
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
Tzyy-Ping Jung,Scott Makeig,Marissa Westerfield,Marissa Westerfield,Jeanne Townsend,Jeanne Townsend,Eric Courchesne,Eric Courchesne,Terrence J. Sejnowski,Terrence J. Sejnowski +9 more
TL;DR: Results show that ICA can be used to effectively detect, separate and remove ocular artifacts from even strongly contaminated EEG recordings, and the results compare favorably to those obtained using rejection or regression methods.