Author

Jumpei Ukita

The University of TokyoORCID 0009-0009-4406-3357Unclaimed 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· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1

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Kenichi OhkiiD· 1 shared Takashi YoshidaiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Kenichi OhkiORCID

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1 paper

Recent·Most cited

NeuroscienceScientific ReportsPeer-reviewedMar 7, 2019

Characterization of nonlinear receptive fields of visual neurons by convolutional neural network

Jumpei Ukita, Takashi Yoshida, Kenichi Ohki

The paper uses convolutional neural networks to estimate nonlinear receptive fields of visual neurons, showing they can capture complex nonlinearities like shift and rotation invariance.

27 citations

mouseimaging

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