Author

Y. Tokudome

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

E. D. Johnstone· 1 shared G. Nye· 1 shared G. Poologasundarampillai· 1 shared H. Bischof· 1 shared I. L. Chernyavsky· 1 shared K. Nakajima· 1 shared K. Watanabe· 1 shared M. Basham· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

E. D. Johnstone

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2 papers

Recent·Most cited

Computational capability of ecological dynamics

M. Ushio, K. Watanabe, Y. Fukuda, Y. Tokudome, K. Nakajima

This paper demonstrates that ecological networks can function as computational resources, introducing 'Ecological Reservoir Computing' to predict future dynamics and emulate nonlinear systems.

bioRxiv · Sep 15, 2021 · PreprintEcology

A massively multi-scale approach to characterising tissue architecture by synchrotron micro-CT applied to the human placenta

W. M. Tun, G. Poologasundarampillai, H. Bischof, G. Nye, O. N. F. King, M. Basham, Y. Tokudome, R. M. Lewis, E. D. Johnstone, P. Brownbill, M. Darrow, I. L. Chernyavsky

This study uses synchrotron micro-CT and machine learning to analyze placental tissue structure across scales, quantifying scale-dependent errors and enabling functional analysis of maternal and fetal domains.

bioRxiv · Dec 7, 2020Bioengineering