Author

Chi-Hung Juan

National Central UniversityORCID 0000-0002-9076-3591Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:differential expression· 1 Organism:mouse· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Wei‐Kuang LiangiD· 3 shared Norden Eh HuangiD· 2 shared Andrew J. QuinniD· 1 shared Anna Christina NobreiD· 1 shared David DupretiD· 1 shared Dong-Han Li· 1 shared Jia‐Rong YehiD· 1 shared Mark W. WoolrichiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersNeuroscience

Wei‐Kuang LiangORCID

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3 papers

Recent·Most cited

Certain spatial prediction decreases the rhythm of attentional sampling

Yih-Ning Huang, Wei‐Kuang Liang, Chi-Hung Juan

This study shows that spatial prediction affects attentional sampling rhythms, shifting them from beta to theta frequencies under certain conditions.

bioRxiv · Nov 20, 2023 · PreprintNeuroscience

The association between working memory precision and the nonlinear dynamics of frontal and parieto-occipital EEG activity.

Wen-Sheng Chang, Wei‐Kuang Liang, Dong-Han Li, Neil Gerald Muggleton, Prasad Balachandran, Norden Eh Huang, Chi-Hung Juan

This study examines how working memory precision relates to nonlinear EEG dynamics in frontal and parieto-occipital regions, finding that frontal theta power and parieto-occipital alpha/beta suppression correlate with WM precision.

Scientific Reports · Aug 31, 2023Peer-reviewedNeuroscience

Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics.

Andrew J. Quinn, Vítor Lopes‐dos‐Santos, Norden Eh Huang, Wei‐Kuang Liang, Chi-Hung Juan, Jia‐Rong Yeh, Anna Christina Nobre, David Dupret, Mark W. Woolrich

The paper develops a framework to analyze oscillatory waveform dynamics by isolating signals and quantifying cycle shape changes using instantaneous frequency, revealing variability in theta oscillations in mouse hippocampal recordings.

Journal of Neurophysiology · Aug 18, 2021Peer-reviewedNeuroscience