Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences

Prof. Dr. Christian Tetzlaff

  • 2009: Diplom in Physics, Georg August University, Göttingen
  • 2010-2013: Max Planck Institute for Dynamics and Self-Organization / University of Göttingen / GGNB program Physics of Biological and Complex Systems
  • 2013: Dissertation in Physics (Dr.rer.nat.), Georg August University, Göttingen
  • 2015-2021: Bernstein Fellow (independent research position) at the Max Planck Institute for Dynamics and Self-Organization, Göttingen and the University of Göttingen
  • 2015: Guest Scientist at the Weizmann Institute, Rehovot, Israel with Prof. Misha Tsodyks
  • 2015: Guest Scientist at the Columbia University, New York, USA
  • 2017-2021: Co-coordinator and work package leader of the European Union’s Horizon 2020 Project “Plan4Act”
  • since 2017: Principal investigator of a subproject part of the SFB 1286 “Quantitative Synaptology” in Göttingen funded by the DFG
  • Since 2018: Principal investigator of a project as part of the Intel Neuromorphic Research Community (INRC) using the Intel-chip “Loihi”
  • Since 2020: R&D coordinator and work package leader of the European Union’s Horizon 2020 Project “ADOPD”
  • Since 2020: Principal investigator of the subproject “FIPPA” being part of the European Union’s Flagship Project “Human Brain Project”
  • Since 2021: W2-Professorship at the Institute for Neuro- and Sensory Physiology of the University Medical Center Göttingen
  • Since 2022: Principal investigator of the BMBF-funded Project “KISSKI”



Major Research Interests
We use computational and mathematical tools to identify and understand the fundamental principles that are governing learning and computation in neuronal systems. In addition, we transfer these principles to advance cutting-edge technologies like robotics or neuromorphic engineering. For this, we integrate knowledge from different spatial scales, from protein interactions in individual synapses to large-scale adaptive neuronal networks, and take advantage of methods from different scientific disciplines such as nonlinear dynamics, numeric, statistical physics, information theory, or machine learning.

Homepage Department/Research Group
https://tetzlab.com/

ORCID: 0000-0003-1901-6232