Author

Jeonghyuk Park

The University of TokyoORCID 0000-0002-2014-6555Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:Drosophila· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Akinao NoseiD· 2 shared Hiroshi KohsakaiD· 2 shared Atsushi TaniguchiiD· 1 shared Hiromu TanimotoiD· 1 shared Ken NakaeiD· 1 shared Shigenori NonakaiD· 1 shared Shin IshiiiD· 1 shared Shu KondoiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersNeuroscience

Akinao NoseORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of NeurogeneticsPeer-reviewedJun 7, 2019

System level analyses of motor-related neural activities in larval Drosophila

Youngteak Yoon, Jeonghyuk Park, Atsushi Taniguchi…·Akinao Nose

The paper analyzes motor-related neural activity in larval Drosophila during fictive locomotion, identifying neurons biased toward forward or backward movement.

6 citations

Drosophilaimaging

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedJul 3, 2018

Data-driven analysis of motor activity implicates 5-HT2A neurons in backward locomotion of larval Drosophila

Jeonghyuk Park, Shu Kondo, Hiromu Tanimoto…·Akinao Nose

The paper develops a method to classify neural activity in Drosophila larvae and identifies 5-HT2A neurons involved in backward locomotion.

7 citations

Drosophilaimaging

𝕏 PostBluesky