People

Katharina Hohlbaum

External Collaborator

Veterinary Science

FU

 

Email:
Katharina.Hohlbaum@fu-berlin.de

 

Photo: SCIoI

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Katharina Hohlbaum

Katharina Hohlbaum

Photo: SCIoI

Katharina Hohlbaum is an external collaborator and former post-doctoral researcher at SCIoI. Katharina is a veterinarian with the focus on animal welfare, animal behavior, and laboratory animal science. She studied veterinary medicine at the University of Veterinary Medicine Hannover and received her PhD in Biomedical Sciences at the Freie Universität Berlin in 2018. In her PhD project, she developed a protocol on the systematic assessment of well-being in mice that can be used to assess the severity of a procedure including general anesthesia in an animal-based and objective manner. Within SCIoI she is working as a postdoctoral researcher on the projects “Mouse Lock Box” and “Understanding learning of mice in social interaction” dealing with individual and social intelligence (i.e. learning in a group or from a tutor) in mice. She is investigating problem-solving strategies of mice on the analytical side of SCIoI. Data will then be used to develop a simulation on the synthetical side, which can raise new hypotheses regarding learning strategies of mice. Moreover, Katharina is interested in the interaction of emotions and cognition. Although great progress has been made in recognizing negative affective states of mice, little is known about their positive affective states. Therefore, Katharina aims to identify indicators of positive emotions in mice. She is exploring whether mice can discriminate between different emotional states and whether (and how) the emotional state of conspecifics influences the emotional state of an individual or induces empathy. This raises the questions how emotional signaling is involved in social learning.


Projects

Katharina Hohlbaum is member of Project 03, Project 25, Project 40, Project 46.


Hohlbaum, K., Andresen, N., Mieske, P., Kahnau, P., Lang, B., Diederich, K., Palme, R., Mundhenk, L., Sprekeler, H., Hellwich, O., Thöne-Reineke, C., & Lewejohann, L. (2024). Lockbox enrichment facilitates manipulative and cognitive activities for mice. Open Research Europe. https://doi.org/10.12688/openreseurope.17624.2
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessle, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2024). Mechanical problem solving in mice. bioRxiv. https://doi.org/10.1101/2024.07.29.605658
Lang, B., Kahnau, P., Hohlbaum, K., Mieske, P., Andresen, N. P., Boon, M. N., Thöne-Reineke, C., Lewejohann, L., & Diederich, K. (2023). Challenges and advanced concepts for the assessment of learning and memory function in mice. Frontiers in Behavioral Neuroscience, 17. https://doi.org/10.3389/fnbeh.2023.1230082
Kahnau, P., Mieske, P., Wilzopolski, J., Kalliokoski, O., Mandillo, S., Hölter, S. M., Voikar, V., Amfim, A., Badurek, S., Bartelik, A., Caruso, A., Čater, M., Ey, E., Golini, E., Jaap, A., Hrncic, D., Kiryk, A., Lang, B., Loncarevic-Vasiljkovic, N., … Hohlbaum, K. (2023). A systematic review of the development and application of home cage monitoring in laboratory mice and rats. BMC Biology, 256(21). https://doi.org/10.1186/s12915-023-01751-7
Boon, M. N., Andresen, N., Meier, S., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2023). Mouse lock box: a sequential mechanical decision-making task to investigate complex mouse behavior. Bernstein Conference. https://doi.org/10.12751/nncn.bc2023.056
Dolokov, A., Andresen, N., Hohlbaum, K., Thöne-Reineke, C., Lewejohann, L., & Hellwich, O. (2023). Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings. 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) / VISAPP, 5, 945–952. https://doi.org/10.5220/0011609500003417
Andresen, N., Wöllhaf, M., Hohlbaum, K., Lewejohann, L., Hellwich, O., Thöne-Reineke, C., & Belik, V. (2020). Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis. PLOS ONE, 15(4), e0228059. https://doi.org/10.1371/journal.pone.0228059

Best Poster Award (VISAPP 2023)

Young Investigator Award (2021)

Animal Welfare Award (Dr Wilma von Düring Research Prize, 2019)

Research

An overview of our scientific work

See our Research Projects