Author

Seonghoon Kim

Seoul National UniversityORCID 0000-0001-9641-5726Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Myunghwan ChoiiD· 2 shared Adam E. CoheniD· 1 shared Cheol‐Hee KimiD· 1 shared Eun‐Seo ChoiD· 1 shared Geun Ho ImiD· 1 shared Gyuri KimiD· 1 shared Hyun Seok MooniD· 1 shared Jae‐Byum ChangiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Myunghwan ChoiORCID

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2 papers

Recent·Most cited

Whole-brain mapping of effective connectivity by fMRI with cortex-wide patterned optogenetics

Seonghoon Kim, Hyun Seok Moon, Thanh Tan Vo, Geun Ho Im, Sung‐Ho Lee, Myunghwan Choi, Seong‐Gi Kim

This study uses fMRI with optogenetic stimulation to map whole-brain effective connectivity in mice, showing agreement with anatomical data but sensitivity to anesthetics.

Neuron · Mar 30, 2023Peer-reviewedNeuroscience

Statistically unbiased prediction enables accurate denoising of voltage imaging data

Minho Eom, Seungjae Han, Gyuri Kim, Eun‐Seo Cho, Jueun Sim, Pojeong Park, Kang‐Han Lee, Seonghoon Kim, Márton Rózsa, Karel Svoboda, Myunghwan Choi, Cheol‐Hee Kim, Adam E. Cohen, Jae‐Byum Chang, Young‐Gyu Yoon

SUPPORT is a self-supervised method that denoises voltage imaging data by leveraging spatiotemporal dependencies, preserving dynamics without requiring action potential information.

bioRxiv · Nov 17, 2022 · PreprintNeuroscience