Author

Takashi Yoshida

Kyushu UniversityORCID 0000-0002-7089-4009Unclaimed ORCID profile · follow to get notified of new preprints

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Takashi Yoshida2 papers · Kyoto University

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Kenichi OhkiiD· 2 shared Jumpei UkitaiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Kenichi OhkiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 12, 2019

Robust representation of natural images by sparse and variable population of active neurons in visual cortex

Takashi Yoshida, Kenichi Ohki

The paper shows that natural images can be decoded from a small number of highly responsive neurons in V1, with reliable representation supported by overlapping receptive fields.

6 citations

mouseelectronic health records

𝕏 PostBluesky

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

𝕏 PostBluesky