Author

Derek E. Moulton

University of OxfordORCID 0000-0003-3597-7973Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Alain GorielyiD· 1 shared Atsuko SatoiD· 1 shared Axel A. AlmetiD· 1 shared Bartosz KaczmarskiiD· 1 shared Ellen Kuhl AiD· 1 shared Nathanaël Aubert-KatoiD· 1 shared Zéphyr GorielyiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperBioengineering

Alain GorielyORCID

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2 papers

Recent·Most cited

BioengineeringJournal of the Mechanics and Physics of SolidsPeer-reviewedOct 29, 2024

Ultra-fast physics-based modeling of the elephant trunk

Bartosz Kaczmarski, Derek E. Moulton, Zéphyr Goriely…·Ellen Kuhl A

This paper develops a physics-based model of the elephant trunk to predict its motion from muscle activation, revealing how specific muscle contractions enable task-specific movements.

4 citations

imagingdeep learning

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Systems BiologyPLoS Computational BiologyPeer-reviewedMar 1, 2024

A multiscale computational framework for the development of spines in molluscan shells

Derek E. Moulton, Nathanaël Aubert-Kato, Axel A. Almet, Atsuko Sato

This paper develops a multiscale computational framework to link molecular and tissue-level models of shell spine formation in molluscs, revealing statistically significant differences in spine form across populations of Turbo sazae.

DOI 10.1371/journal.pcbi.1011835

mousestatistical model

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