Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences

Timme, Marc, Prof. Dr.

  • 1994-99 Undergraduate and graduate studies of Physics at the University of Würzburg and the State University of New York at Stony Brook
  • 1998 Master of Arts in Physics (SUNY Stony Brook)
  • 2002 Dr. rer. nat in Theoretical Physics (University of Göttingen)
  • 1999-2002 Research Associate, Max Planck Institute for Flow Research, Göttingen
  • 2003 Visiting Scientist, Dept. of Mathematical Science, University of Exeter, UK
  • 2003-2005 Post-Doc, Max Planck Institute for Dynamics & Self-Organization, Göttingen
  • 2005-2006 Research Scholar, Center for Applied Mathematics, Cornell University, USA
  • since 2006 Head of Research Group Network Dynamics (Associate Professor Level, 5 yrs) of the Max Planck Society at the MPI-ds Göttingen
  • 2009 Adjunct Professor, University of Göttingen
  • 2009 Visiting Senior Researcher, CNR – National Research Center, Sesto Fiorentino, Italy

Major Research Interests
We develop and use methods of Statistical Physics, Nonlinear Dynamics, Stochastic Processes and Time Series Analysis to investigate cooperative phenomena on large networks:

  • Theoretical Neuroscience: exact dynamics of spiking neural networks; methods for detecting precise timing in experimental data.
  • Statistical Physics and Graph Theory: Random Matrix Theory and applications; reversible aggregation phenomena (explained by developing a unifying theory); developing symbolic algorithms for invariant polynomials of large graphs (an NP-complete problem).
  • Dynamical Systems: theory of Unstable Attractors; high-dimensional systems; synchronization; topology - dynamics relations in complex networks; artificial computation by exploiting instabilities.

  • Homepage Department/Research Group

    Selected Recent Publications
  • C. Grabow, S. Grosskinsky, and M. Timme (2012) Small-World Network Spectra in Mean-Field Theory. Phys. Rev. Lett. 108: 218701

  • M. Rohden, A. Sorge, M. Timme, and D. Witthaut (2012) Self-Organized Synchronization in Decentralized Power Grids. Phys. Rev. Lett. 109: 064101

  • F.S. Neves, and M. Timme (2012) Computation by Switching in Complex Networks of States. Phys. Rev. Lett. 109: 018701

  • J. Nagler, A. Levina, and M. Timme (2011) Impact of single links in competitive percolation. Nature Physics 7: 265

  • S. Steingrube, M. Timme, F. Wörgötter, and P. Manoonpong (2010) Self-organized adaptation of a simple neural circuit enables complex robot behavior. Nature Physics 6: 224-230

  • Jahnke S, Memmesheimer R-M, Timme M (2008) Stable Irregular Dynamics in Complex Neural Networks. Phys. Rev. Lett. 100:048102

  • Denker M, Roux S, Timme M, Riehle A, Grün S (2007) Phase Synchronization between LFP and Spiking Activity in Motor Cortex During Movement Preparation. Neurocomputing 70:2096 (2007)

  • Timme M (2007) Revealing Network Connectivity From Response Dynamics. Phys. Rev. Lett. 98(22): 224101

  • Memmesheimer R-M, Timme M (2006) Designing the Dynamics of Spiking Neural Networks. Phys. Rev. Lett. 97:188101.

  • Timme M (2006) Does Dynamics Reflect Topology in Directed Networks? Europhys. Lett. 76:367.

  • Ashwin P and Timme M (2005) Nonlinear dynamics: When instability makes sense. Nature 436:36.

  • Timme M, Wolf F, and Geisel T (2004) Topological Speed Limits to Network Synchronization. Phys. Rev. Lett. 92:074101.

  • Timme M, Wolf F, and Geisel T (2002) Prevalence of Unstable Attractors in Networks of Pulse-Coupled Oscillators. Phys. Rev. Lett. 89:154105