Author

Jiageng Chen

The Ohio State UniversityORCID 0000-0003-2910-1385Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell-cell communication· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Julie D. GolombiD· 2 shared Paul S. ScottiiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Julie D. GolombORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of NeurophysiologyPeer-reviewedJun 7, 2023

Dynamic neural reconstructions of attended object location and features using EEG

Jiageng Chen, Julie D. Golomb

This study uses EEG and machine learning to show how neural representations of object features and locations dynamically update during attention shifts.

2 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 22, 2021

An enhanced inverted encoding model for neural reconstructions

Paul S. Scotti, Jiageng Chen, Julie D. Golomb

This paper introduces an enhanced inverted encoding model (eIEM) for reconstructing perception, attention, and memory from neuroimaging data, showing improved reconstruction quality and brain-behavior correlations.

7 citations

statistical model

𝕏 PostBluesky