Author

Elfriede Friedmann

University of KasselORCID 0000-0002-2827-6581Unclaimed 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 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Natalia B. FilimonovaiD· 2 shared Angelika Brückner-FoitiD· 1 shared Baris Can UlkuiD· 1 shared Georg MayeriD· 1 shared Huleg ZolmoniD· 1 shared Johanna Olschewski· 1 shared Lars HeringiD· 1 shared Monika StengliD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

Natalia B. FilimonovaORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintSep 25, 2026

Daily locomotor rhythms and ecdysial stage-dependent behaviors in the tardigrade Hypsibius exemplaris

Baris Can Ulku, Lars Hering, Natalia B. Filimonova…·Georg Mayer

This study identifies an endogenous circadian-like rhythm in the tardigrade Hypsibius exemplaris, independent of light, and links it to ecdysial stages.

DOI 10.64898/2026.09.23.753707

imagingdeep learning

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Animal Behavior & CognitionbioRxivPreprintSep 15, 2026

Characterizing rhythmic wheel-turning behavioral patterns in cockroaches Rhyparobia maderae using machine learning

Johanna Olschewski, Angelika Brückner-Foit, Natalia B. Filimonova…·Elfriede Friedmann

This study uses machine learning to identify ultradian rhythms in cockroach locomotor activity, finding a consistent one-hour rhythm during the subjective night.

DOI 10.64898/2026.09.11.747745

machine learning (classical)

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