Author

Kosuke Miyoshi

ORCID 0000-0002-8237-1395Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Masaki TakedaiD· 2 shared Cui Lang· 1 shared Daisuke ShimaneiD· 1 shared Kiyoshi NakaharaiD· 1 shared Koji JimuraiD· 1 shared Noriya WatanabeiD· 1 shared Ruedeerat KeerativittayayutiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Masaki TakedaORCID

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2 papers

Recent·Most cited

Deep-learning-based fMRI decoding of real-world size for hand-held objects

Cui Lang, Kosuke Miyoshi, Masaki Takeda

This study uses a 3D deep neural network to decode real-world object size from fMRI data, revealing a distributed neural network for subtle size differences beyond traditional visual areas.

Scientific Reports · Oct 7, 2026Peer-reviewedNeuroscience

Multimodal deep neural decoding of visual object representation in humans

Noriya Watanabe, Kosuke Miyoshi, Koji Jimura, Daisuke Shimane, Ruedeerat Keerativittayayut, Kiyoshi Nakahara, Masaki Takeda

This study uses fMRI and EEG with deep neural networks to show how visual objects are represented in the brain through spatially organized and temporally sequential patterns.

bioRxiv · Apr 6, 2022 · PreprintNeuroscience