AG Hesse

The Computational Resilience Research group investigates the dynamics of resilience at the intersection of modeling, machine learning, and medicine. In an interplay between theory and modern data analysis, we unravel complex processes that prevent or enable resilience. To that end, we work in close collaboration with our experimental colleagues.

Current research projects

-Consequences of phase transitions in brain dynamics for resilience

-Learning and social interaction in mice - individual characteristics and their relation with resilience

-Gene expression and resilience in cancer patients

-Saisonal variation of stress and resilience

External cooperation partners

-Prof. Dr. Angela Relógio, MSH Medical School Hamburg & Charité University Hospital Berlin

Sponsorships

-Boehringer Ingelheim Stiftung

Key Publications

Hesse J, Müller T, Relógio A. (2023)

An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells.

NPJ Syst Biol Appl. 2023 Jun 23;9(1):27. doi: 10.1038/s41540-023-00287-4. PMID: 37353516

Hesse J, Schleimer JH, Maier N, Schmitz D, Schreiber S. (2022)

Temperature elevations can induce switches to homoclinic action potentials that alter neural encoding and synchronization.

Nat Commun. 2022 Jul 8;13(1):3934. doi: 10.1038/s41467-022-31195-6. PMID: 35803913

Hesse J, Schleimer JH, Schreiber S. (2017)

Qualitative changes in phase-response curve and synchronization at the saddle-node-loop bifurcation.

Phys Rev E. 2017 May;95(5-1):052203. doi: 10.1103/PhysRevE.95.052203. Epub 2017 May 3. PMID: 28618541

Hesse J, Schreiber S. (2015)

Externalization of neuronal somata as an evolutionary strategy for energy economization.

Curr Biol. 2015 Apr 20;25(8):R324-5. doi: 10.1016/j.cub.2015.02.024. PMID: 25898099

Hesse J, Gross T. (2014)

Self-organized criticality as a fundamental property of neural systems.

Front Syst Neurosci. 2014 Sep 23;8:166. doi: 10.3389/fnsys.2014.00166. eCollection 2014. PMID: 25294989