Author

Kurt Hammerschmidt

German Primate CenterORCID 0000-0002-3430-2993Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Approach:experimental assay· 2 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Anja Ronnenberg· 2 shared Hannelore EhrenreichiD· 2 shared Klaus‐Armin NaveiD· 2 shared A.M. IvanenkoiD· 1 shared Anastassia Stoykova· 1 shared Andrew Octavian SasmitaiD· 1 shared Anton B. ToncheviD· 1 shared Bernhard EnglitziD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Anja Ronnenberg

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Author profile →

3 papers

Recent·Most cited

Erythropoietin alleviates intellectual disability and autism-like behavior of mice caused by Zbtb20 haploinsufficiency, a construct-valid model of Primrose syndrome

Martin Hindermann, Justus B. H. Wilke, Yasmina Curto, Stefan N. Oline, Vinícius Daguano Gastaldi, Umer Javed Butt, Rakshit Dadarwal, Umut Çakır, Anja Ronnenberg, Kurt Hammerschmidt, Susann Boretius, Anastassia Stoykova, Anton B. Tonchev, Klaus‐Armin Nave, Manvendra Singh, Hannelore Ehrenreich

This study shows that erythropoietin treatment improves behavioral and phenotypical symptoms in Zbtb20+/- mice, a model of Primrose syndrome.

bioRxiv · Sep 11, 2025 · PreprintNeuroscience

Isolated catatonia-like executive dysfunction in micewith forebrain-specific loss of myelin integrity

Sahab Arinrad, Constanze Depp, Sophie B. Siems, Andrew Octavian Sasmita, Maria A. Eichel‐Vogel, Anja Ronnenberg, Kurt Hammerschmidt, Katja A. Lüders, Hauke B. Werner, Hannelore Ehrenreich, Klaus‐Armin Nave

This study shows that forebrain-specific myelin loss in mice causes catatonia-like symptoms and isolated executive dysfunction without affecting motor-sensory functions.

eLife · Jan 30, 2023Peer-reviewedNeuroscience

Classification of mouse ultrasonic vocalizations using deep learning

A.M. Ivanenko, Paul V. Watkins, Marcel A. J. van Gerven, Kurt Hammerschmidt, Bernhard Englitz

This paper uses deep learning to classify mouse ultrasonic vocalizations by sex, achieving 84% accuracy compared to 64% and 52% with other methods.

PLoS Computational Biology · Jun 22, 2020Peer-reviewedBioinformatics